{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5d52a609-d49e-4d08-8c35-716cb82add2f",
   "metadata": {},
   "source": [
    "# Fusing Depth Data\n",
    "\n",
    "## Overview\n",
    "\n",
    "Most cryptocurrency exchanges do not deliver true tick-by-tick Level-2 data. Instead, they provide conflated feeds in which individual order-book updates are aggregated over short intervals. For example, Binance Futures’ `depth@0ms` stream is still aggregated: You can confirm that its best-bid-offer (BBO) values update less frequently than those in the `bookTicker` stream, which captures every BBO change. Other venues state similar limitations explicitly—Bybit, for instance, publishes the Level 1 data (BBO) every 10ms, the Level 50 data every 20ms, and the Level 200 data every 100ms.\n",
    "\n",
    "To generate accurate fill simulations and realistic backtesting results, you must therefore fuse multiple depth streams into a single feed that preserves the highest possible update frequency and granularity.\n",
    "\n",
    "Let’s see Binance Futures as our example."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05735dd5-7303-4dbb-9dba-83579959059e",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d698450c-ca49-438d-9613-2aa71cb4e62b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !wget https://datasets.tardis.dev/v1/binance-futures/trades/2025/05/01/BTCUSDT.csv.gz -O BTCUSDT_trades_20250501.csv.gz\n",
    "# !wget https://datasets.tardis.dev/v1/binance-futures/incremental_book_L2/2025/05/01/BTCUSDT.csv.gz -O BTCUSDT_incremental_book_L2_20250501.csv.gz\n",
    "# !wget https://datasets.tardis.dev/v1/binance-futures/book_ticker/2025/05/01/BTCUSDT.csv.gz -O BTCUSDT_book_ticker_20250501.csv.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "29fffc16-5de9-48a1-93e9-65d25fdab664",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading BTCUSDT_trades_20250501.csv.gz\n",
      "Reading BTCUSDT_incremental_book_L2_20250501.csv.gz\n",
      "Correcting the latency\n",
      "Correcting the event order\n",
      "Saving to BTCUSDT_20250501.npz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([(3758096386, 1746057600043000000, 1746057600046245000, 94125.2, 1.0000e-02, 0, 0, 0.),\n",
       "       (3758096387, 1746057600072000000, 1746057601025373000, 93954.8, 0.0000e+00, 0, 0, 0.),\n",
       "       (3758096388, 1746057600072000000, 1746057601025373000, 94125.1, 1.0798e+01, 0, 0, 0.),\n",
       "       ...,\n",
       "       (3758096385, 1746143999978000000, 1746143999980195000, 96406. , 1.5590e+00, 0, 0, 0.),\n",
       "       (3758096385, 1746143999978000000, 1746143999980195000, 96411.2, 6.1000e-02, 0, 0, 0.),\n",
       "       (3758096385, 1746143999978000000, 1746143999980195000, 96423.2, 1.0130e+01, 0, 0, 0.)],\n",
       "      shape=(106343798,), dtype={'names': ['ev', 'exch_ts', 'local_ts', 'px', 'qty', 'order_id', 'ival', 'fval'], 'formats': ['<u8', '<i8', '<i8', '<f8', '<f8', '<u8', '<i8', '<f8'], 'offsets': [0, 8, 16, 24, 32, 40, 48, 56], 'itemsize': 64, 'aligned': True})"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from hftbacktest.data.utils import tardis\n",
    "\n",
    "tardis.convert(\n",
    "    [\n",
    "        'BTCUSDT_trades_20250501.csv.gz',\n",
    "        'BTCUSDT_incremental_book_L2_20250501.csv.gz'\n",
    "    ],\n",
    "    output_filename='BTCUSDT_20250501.npz',\n",
    "    buffer_size=1_000_000_000,\n",
    "    snapshot_mode='process'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e30babac-3351-4d60-94e8-a22532a643af",
   "metadata": {},
   "source": [
    "Use the backtester to replay the data, get the BBO values from the Level-2 depth feed to compare it with the BBO obtained from the book ticker stream."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "75d6bec1-8b47-4f56-85e1-28146a14758b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numba import njit\n",
    "from hftbacktest import (\n",
    "    BacktestAsset,\n",
    "    ROIVectorMarketDepthBacktest\n",
    ")\n",
    "\n",
    "@njit\n",
    "def record_l2_bbo(\n",
    "    hbt,\n",
    "    timeout\n",
    "):\n",
    "    asset_no = 0\n",
    "    t = 0\n",
    "    l2_bbo = np.full((30_000_000, 5), np.nan, np.float64)\n",
    "    prev_best_bid = np.nan\n",
    "    prev_best_ask = np.nan\n",
    "    prev_best_bid_qty = np.nan\n",
    "    prev_best_ask_qty = np.nan\n",
    "\n",
    "    # 0: Timeout(no market feed received within the timeout interval)\n",
    "    # 2: Market Feed\n",
    "    # Otherwise, an error occurs.\n",
    "    while hbt.wait_next_feed(False, timeout) in [0, 2]: \n",
    "        depth = hbt.depth(asset_no)\n",
    "\n",
    "        best_bid = depth.best_bid\n",
    "        best_ask = depth.best_ask\n",
    "        best_bid_qty = depth.bid_qty_at_tick(depth.best_bid_tick)\n",
    "        best_ask_qty = depth.ask_qty_at_tick(depth.best_ask_tick)\n",
    "        \n",
    "        if (\n",
    "            best_bid != prev_best_bid \n",
    "            or best_ask != prev_best_ask\n",
    "            or best_bid_qty != prev_best_bid_qty\n",
    "            or best_ask_qty != prev_best_ask_qty\n",
    "        ):\n",
    "            l2_bbo[t, 0] = hbt.current_timestamp\n",
    "            l2_bbo[t, 1] = prev_best_bid = best_bid\n",
    "            l2_bbo[t, 2] = prev_best_ask = best_ask\n",
    "            l2_bbo[t, 3] = prev_best_bid_qty = best_bid_qty\n",
    "            l2_bbo[t, 4] = prev_best_ask_qty = best_ask_qty\n",
    "        \n",
    "            t += 1\n",
    "        \n",
    "            if t >= len(l2_bbo):\n",
    "                raise Exception\n",
    "\n",
    "    return l2_bbo[:t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "83544996-c88a-4a30-aa98-5752e7aba17f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 40.5 s, sys: 4.34 s, total: 44.9 s\n",
      "Wall time: 43.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "roi_lb = 50000\n",
    "roi_ub = 150000\n",
    "\n",
    "asset = (\n",
    "    BacktestAsset()\n",
    "        .data(['BTCUSDT_20250501.npz'])\n",
    "        .linear_asset(1.0) \n",
    "        .constant_order_latency(0, 0)\n",
    "        .power_prob_queue_model(3)\n",
    "        .no_partial_fill_exchange()\n",
    "        .trading_value_fee_model(-0.00005, 0.0007)\n",
    "        .tick_size(0.1)\n",
    "        .lot_size(0.001)\n",
    "        .roi_lb(roi_lb)    \n",
    "        .roi_ub(roi_ub)\n",
    ")\n",
    "\n",
    "hbt = ROIVectorMarketDepthBacktest([asset])\n",
    "\n",
    "timeout = 100_000_000 # 100ms\n",
    "\n",
    "l2_bbo = record_l2_bbo(\n",
    "    hbt,\n",
    "    timeout\n",
    ")\n",
    "\n",
    "_ = hbt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a820163-b00b-4841-8dda-b1fe1427a78c",
   "metadata": {},
   "source": [
    "## Comparing BBO updates: Level-2 (depth@0ms) Stream vs bookTicker Stream\n",
    "\n",
    "The `bookTicker` stream delivers updates more often and leads the Level-2 feed by a small margin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f861510b-fcbd-419f-bb92-e180fcf4a60e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import polars as pl\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "95df5e7f-54ed-4893-baa4-a1480d331b64",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_l2_bbo = pl.DataFrame(l2_bbo)\n",
    "df_l2_bbo.columns = ['Local Timestamp', 'Bid', 'Ask', 'Bid Qty', 'Ask Qty']\n",
    "\n",
    "df_l2_bbo = df_l2_bbo.with_columns(\n",
    "    pl.from_epoch('Local Timestamp', time_unit='ns')\n",
    ").filter(\n",
    "    (pl.col('Local Timestamp') > pl.lit('2025-05-01 14:36:03').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S')) &\n",
    "    (pl.col('Local Timestamp') < pl.lit('2025-05-01 14:36:5').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S'))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52f78c79-21a9-47a3-abc3-7b284f17e9ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_book_ticker = pl.read_csv('BTCUSDT_book_ticker_20250501.csv.gz').with_columns(\n",
    "    pl.from_epoch('local_timestamp', time_unit='us')\n",
    ").select(\n",
    "    'local_timestamp', 'bid_price', 'ask_price', 'bid_amount', 'ask_amount'\n",
    ").filter(\n",
    "    (pl.col('local_timestamp') > pl.lit('2025-05-01 14:36:03').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S')) &\n",
    "    (pl.col('local_timestamp') < pl.lit('2025-05-01 14:36:5').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S'))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3ebb0e42-ea5e-4007-8478-38e9212003c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "plt.step(df_l2_bbo['Local Timestamp'], df_l2_bbo['Bid'], where='post')\n",
    "plt.step(df_book_ticker['local_timestamp'], df_book_ticker['bid_price'], where='post')\n",
    "plt.legend(['depth@0ms best bid', 'bookTicker best bid'])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6508c178-0982-43ee-a843-2404b145fe2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "plt.step(df_l2_bbo['Local Timestamp'], df_l2_bbo['Ask'], where='post')\n",
    "plt.step(df_book_ticker['local_timestamp'], df_book_ticker['ask_price'], where='post')\n",
    "plt.legend(['depth@0ms best ask', 'bookTicker best ask'])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "746b8501-2afe-4211-8b3c-3b747650662f",
   "metadata": {},
   "source": [
    "You’ll notice that the `bookTicker` stream delivers updates far more frequently—especially when you factor in changes to both price and quantity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1446b2a4-0045-4748-a925-0ced0d4e3338",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (39, 5)\n",
      "┌───────────────────────────────┬─────────┬─────────┬─────────┬─────────┐\n",
      "│ Local Timestamp               ┆ Bid     ┆ Ask     ┆ Bid Qty ┆ Ask Qty │\n",
      "│ ---                           ┆ ---     ┆ ---     ┆ ---     ┆ ---     │\n",
      "│ datetime[ns]                  ┆ f64     ┆ f64     ┆ f64     ┆ f64     │\n",
      "╞═══════════════════════════════╪═════════╪═════════╪═════════╪═════════╡\n",
      "│ 2025-05-01 14:36:03.008176128 ┆ 96351.4 ┆ 96351.5 ┆ 6.344   ┆ 7.159   │\n",
      "│ 2025-05-01 14:36:03.060811008 ┆ 96351.4 ┆ 96351.5 ┆ 6.368   ┆ 1.297   │\n",
      "│ 2025-05-01 14:36:03.112276992 ┆ 96351.4 ┆ 96351.5 ┆ 6.528   ┆ 0.128   │\n",
      "│ 2025-05-01 14:36:03.163234048 ┆ 96351.4 ┆ 96351.5 ┆ 6.878   ┆ 0.188   │\n",
      "│ 2025-05-01 14:36:03.215074048 ┆ 96351.4 ┆ 96351.5 ┆ 6.584   ┆ 2.819   │\n",
      "│ 2025-05-01 14:36:03.266274048 ┆ 96351.4 ┆ 96351.5 ┆ 6.399   ┆ 1.996   │\n",
      "│ 2025-05-01 14:36:03.316154112 ┆ 96351.4 ┆ 96351.5 ┆ 6.399   ┆ 2.127   │\n",
      "│ 2025-05-01 14:36:03.369733888 ┆ 96363.4 ┆ 96380.3 ┆ 1.12    ┆ 0.006   │\n",
      "│ 2025-05-01 14:36:03.421906944 ┆ 96379.6 ┆ 96379.7 ┆ 0.438   ┆ 0.036   │\n",
      "│ 2025-05-01 14:36:03.472250880 ┆ 96385.9 ┆ 96387.3 ┆ 0.876   ┆ 0.201   │\n",
      "│ 2025-05-01 14:36:03.522233088 ┆ 96387.3 ┆ 96388.0 ┆ 0.029   ┆ 0.034   │\n",
      "│ 2025-05-01 14:36:03.573129984 ┆ 96387.3 ┆ 96388.0 ┆ 0.446   ┆ 0.235   │\n",
      "│ 2025-05-01 14:36:03.624218112 ┆ 96387.9 ┆ 96388.0 ┆ 1.641   ┆ 1.045   │\n",
      "│ 2025-05-01 14:36:03.675269120 ┆ 96387.9 ┆ 96388.0 ┆ 8.122   ┆ 1.654   │\n",
      "│ 2025-05-01 14:36:03.726845952 ┆ 96398.6 ┆ 96402.2 ┆ 0.311   ┆ 0.116   │\n",
      "│ 2025-05-01 14:36:03.777195008 ┆ 96407.8 ┆ 96413.7 ┆ 0.46    ┆ 0.104   │\n",
      "│ 2025-05-01 14:36:03.829007104 ┆ 96410.9 ┆ 96414.1 ┆ 0.36    ┆ 0.981   │\n",
      "│ 2025-05-01 14:36:03.879574016 ┆ 96412.8 ┆ 96414.1 ┆ 0.291   ┆ 0.016   │\n",
      "│ 2025-05-01 14:36:03.929277952 ┆ 96410.9 ┆ 96412.0 ┆ 0.852   ┆ 0.005   │\n",
      "│ 2025-05-01 14:36:03.985562880 ┆ 96414.7 ┆ 96415.0 ┆ 0.07    ┆ 0.005   │\n",
      "│ 2025-05-01 14:36:04.032508928 ┆ 96414.7 ┆ 96415.1 ┆ 5.581   ┆ 0.06    │\n",
      "│ 2025-05-01 14:36:04.082749952 ┆ 96408.5 ┆ 96410.0 ┆ 0.388   ┆ 0.025   │\n",
      "│ 2025-05-01 14:36:04.134117120 ┆ 96404.7 ┆ 96406.0 ┆ 0.002   ┆ 0.65    │\n",
      "│ 2025-05-01 14:36:04.185359104 ┆ 96404.7 ┆ 96405.8 ┆ 0.002   ┆ 0.37    │\n",
      "│ 2025-05-01 14:36:04.235608064 ┆ 96403.7 ┆ 96405.8 ┆ 0.02    ┆ 0.783   │\n",
      "│ 2025-05-01 14:36:04.287187968 ┆ 96403.6 ┆ 96404.9 ┆ 0.249   ┆ 2.194   │\n",
      "│ 2025-05-01 14:36:04.338068992 ┆ 96402.1 ┆ 96404.9 ┆ 0.042   ┆ 3.069   │\n",
      "│ 2025-05-01 14:36:04.388464128 ┆ 96404.7 ┆ 96404.9 ┆ 0.13    ┆ 2.421   │\n",
      "│ 2025-05-01 14:36:04.440344064 ┆ 96404.6 ┆ 96404.9 ┆ 0.435   ┆ 4.269   │\n",
      "│ 2025-05-01 14:36:04.490669056 ┆ 96404.6 ┆ 96404.8 ┆ 0.603   ┆ 1.21    │\n",
      "│ 2025-05-01 14:36:04.541093120 ┆ 96404.6 ┆ 96404.8 ┆ 0.839   ┆ 3.744   │\n",
      "│ 2025-05-01 14:36:04.594004992 ┆ 96404.6 ┆ 96404.7 ┆ 0.841   ┆ 0.761   │\n",
      "│ 2025-05-01 14:36:04.644099072 ┆ 96404.6 ┆ 96404.7 ┆ 0.961   ┆ 2.639   │\n",
      "│ 2025-05-01 14:36:04.694644992 ┆ 96404.6 ┆ 96404.7 ┆ 5.782   ┆ 3.732   │\n",
      "│ 2025-05-01 14:36:04.746102016 ┆ 96404.6 ┆ 96404.7 ┆ 6.503   ┆ 6.072   │\n",
      "│ 2025-05-01 14:36:04.797575936 ┆ 96404.6 ┆ 96404.7 ┆ 6.541   ┆ 6.28    │\n",
      "│ 2025-05-01 14:36:04.848253952 ┆ 96404.6 ┆ 96404.7 ┆ 5.084   ┆ 7.323   │\n",
      "│ 2025-05-01 14:36:04.898958080 ┆ 96404.6 ┆ 96404.7 ┆ 5.107   ┆ 4.868   │\n",
      "│ 2025-05-01 14:36:04.951334912 ┆ 96404.6 ┆ 96404.7 ┆ 5.001   ┆ 5.284   │\n",
      "└───────────────────────────────┴─────────┴─────────┴─────────┴─────────┘\n"
     ]
    }
   ],
   "source": [
    "with pl.Config(tbl_rows=100):\n",
    "    print(df_l2_bbo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "09fdd1d8-051f-45d1-9c01-00265a090637",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (1_432, 5)\n",
      "┌────────────────────────────┬───────────┬───────────┬────────────┬────────────┐\n",
      "│ local_timestamp            ┆ bid_price ┆ ask_price ┆ bid_amount ┆ ask_amount │\n",
      "│ ---                        ┆ ---       ┆ ---       ┆ ---        ┆ ---        │\n",
      "│ datetime[μs]               ┆ f64       ┆ f64       ┆ f64        ┆ f64        │\n",
      "╞════════════════════════════╪═══════════╪═══════════╪════════════╪════════════╡\n",
      "│ 2025-05-01 14:36:03.027063 ┆ 96351.4   ┆ 96351.5   ┆ 6.338      ┆ 7.157      │\n",
      "│ 2025-05-01 14:36:03.027070 ┆ 96351.4   ┆ 96351.5   ┆ 6.338      ┆ 7.154      │\n",
      "│ 2025-05-01 14:36:03.027072 ┆ 96351.4   ┆ 96351.5   ┆ 6.338      ┆ 7.121      │\n",
      "│ 2025-05-01 14:36:03.029315 ┆ 96351.4   ┆ 96351.5   ┆ 6.35       ┆ 7.121      │\n",
      "│ 2025-05-01 14:36:03.030317 ┆ 96351.4   ┆ 96351.5   ┆ 6.338      ┆ 7.121      │\n",
      "│ 2025-05-01 14:36:03.045954 ┆ 96351.4   ┆ 96351.5   ┆ 6.338      ┆ 7.119      │\n",
      "│ 2025-05-01 14:36:03.049547 ┆ 96351.4   ┆ 96351.5   ┆ 6.348      ┆ 7.119      │\n",
      "│ 2025-05-01 14:36:03.050625 ┆ 96351.4   ┆ 96351.5   ┆ 6.348      ┆ 4.174      │\n",
      "│ 2025-05-01 14:36:03.050627 ┆ 96351.4   ┆ 96351.5   ┆ 6.348      ┆ 2.452      │\n",
      "│ 2025-05-01 14:36:03.050627 ┆ 96351.4   ┆ 96351.5   ┆ 6.348      ┆ 2.395      │\n",
      "│ 2025-05-01 14:36:03.051616 ┆ 96351.4   ┆ 96351.5   ┆ 6.348      ┆ 1.764      │\n",
      "│ 2025-05-01 14:36:03.052630 ┆ 96351.4   ┆ 96351.5   ┆ 6.358      ┆ 1.764      │\n",
      "│ 2025-05-01 14:36:03.052633 ┆ 96351.4   ┆ 96351.5   ┆ 6.358      ┆ 1.762      │\n",
      "│ 2025-05-01 14:36:03.052634 ┆ 96351.4   ┆ 96351.5   ┆ 6.358      ┆ 1.764      │\n",
      "│ 2025-05-01 14:36:03.053796 ┆ 96351.4   ┆ 96351.5   ┆ 6.36       ┆ 1.764      │\n",
      "│ 2025-05-01 14:36:03.053797 ┆ 96351.4   ┆ 96351.5   ┆ 6.36       ┆ 1.762      │\n",
      "│ 2025-05-01 14:36:03.054626 ┆ 96351.4   ┆ 96351.5   ┆ 6.354      ┆ 1.762      │\n",
      "│ 2025-05-01 14:36:03.054629 ┆ 96351.4   ┆ 96351.5   ┆ 6.354      ┆ 1.737      │\n",
      "│ 2025-05-01 14:36:03.054634 ┆ 96351.4   ┆ 96351.5   ┆ 6.354      ┆ 1.349      │\n",
      "│ 2025-05-01 14:36:03.055714 ┆ 96351.4   ┆ 96351.5   ┆ 6.364      ┆ 1.349      │\n",
      "│ 2025-05-01 14:36:03.056808 ┆ 96351.4   ┆ 96351.5   ┆ 6.364      ┆ 1.297      │\n",
      "│ 2025-05-01 14:36:03.059917 ┆ 96351.4   ┆ 96351.5   ┆ 6.366      ┆ 1.297      │\n",
      "│ 2025-05-01 14:36:03.059917 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 1.297      │\n",
      "│ 2025-05-01 14:36:03.064652 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 1.201      │\n",
      "│ 2025-05-01 14:36:03.064653 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 1.087      │\n",
      "│ 2025-05-01 14:36:03.064656 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 1.038      │\n",
      "│ 2025-05-01 14:36:03.064660 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 0.937      │\n",
      "│ 2025-05-01 14:36:03.064661 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 0.679      │\n",
      "│ 2025-05-01 14:36:03.064663 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.067917 ┆ 96351.4   ┆ 96351.5   ┆ 6.368      ┆ 0.702      │\n",
      "│ 2025-05-01 14:36:03.069890 ┆ 96351.4   ┆ 96351.5   ┆ 6.498      ┆ 0.702      │\n",
      "│ 2025-05-01 14:36:03.071890 ┆ 96351.4   ┆ 96351.5   ┆ 6.492      ┆ 0.702      │\n",
      "│ 2025-05-01 14:36:03.071894 ┆ 96351.4   ┆ 96351.5   ┆ 6.492      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.071897 ┆ 96351.4   ┆ 96351.5   ┆ 6.498      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.074200 ┆ 96351.4   ┆ 96351.5   ┆ 6.498      ┆ 0.702      │\n",
      "│ 2025-05-01 14:36:03.078112 ┆ 96351.4   ┆ 96351.5   ┆ 6.508      ┆ 0.702      │\n",
      "│ 2025-05-01 14:36:03.092415 ┆ 96351.4   ┆ 96351.5   ┆ 6.508      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.095210 ┆ 96351.4   ┆ 96351.5   ┆ 6.858      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.097268 ┆ 96351.4   ┆ 96351.5   ┆ 6.868      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.097274 ┆ 96351.4   ┆ 96351.5   ┆ 6.862      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.097277 ┆ 96351.4   ┆ 96351.5   ┆ 6.868      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.098526 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.592      │\n",
      "│ 2025-05-01 14:36:03.099564 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.385      │\n",
      "│ 2025-05-01 14:36:03.099566 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.178      │\n",
      "│ 2025-05-01 14:36:03.102809 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.147      │\n",
      "│ 2025-05-01 14:36:03.102809 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.145      │\n",
      "│ 2025-05-01 14:36:03.102840 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.124      │\n",
      "│ 2025-05-01 14:36:03.104977 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.126      │\n",
      "│ 2025-05-01 14:36:03.105552 ┆ 96351.4   ┆ 96351.5   ┆ 6.878      ┆ 0.128      │\n",
      "│ 2025-05-01 14:36:03.108741 ┆ 96351.4   ┆ 96351.5   ┆ 6.528      ┆ 0.128      │\n",
      "│ …                          ┆ …         ┆ …         ┆ …          ┆ …          │\n",
      "│ 2025-05-01 14:36:04.888094 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 5.431      │\n",
      "│ 2025-05-01 14:36:04.888317 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 5.051      │\n",
      "│ 2025-05-01 14:36:04.888318 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.335      │\n",
      "│ 2025-05-01 14:36:04.888320 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.323      │\n",
      "│ 2025-05-01 14:36:04.888773 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.517      │\n",
      "│ 2025-05-01 14:36:04.888778 ┆ 96404.6   ┆ 96404.7   ┆ 5.117      ┆ 3.517      │\n",
      "│ 2025-05-01 14:36:04.888779 ┆ 96404.6   ┆ 96404.7   ┆ 5.117      ┆ 3.567      │\n",
      "│ 2025-05-01 14:36:04.890093 ┆ 96404.6   ┆ 96404.7   ┆ 5.117      ┆ 3.217      │\n",
      "│ 2025-05-01 14:36:04.890110 ┆ 96404.6   ┆ 96404.7   ┆ 5.117      ┆ 3.248      │\n",
      "│ 2025-05-01 14:36:04.890111 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.248      │\n",
      "│ 2025-05-01 14:36:04.890749 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.25       │\n",
      "│ 2025-05-01 14:36:04.890756 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.253      │\n",
      "│ 2025-05-01 14:36:04.890757 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.703      │\n",
      "│ 2025-05-01 14:36:04.890758 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.701      │\n",
      "│ 2025-05-01 14:36:04.893901 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 3.703      │\n",
      "│ 2025-05-01 14:36:04.894774 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.208      │\n",
      "│ 2025-05-01 14:36:04.894778 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.207      │\n",
      "│ 2025-05-01 14:36:04.896090 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.208      │\n",
      "│ 2025-05-01 14:36:04.898233 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.868      │\n",
      "│ 2025-05-01 14:36:04.900924 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 5.218      │\n",
      "│ 2025-05-01 14:36:04.900929 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.868      │\n",
      "│ 2025-05-01 14:36:04.900930 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.867      │\n",
      "│ 2025-05-01 14:36:04.902011 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.868      │\n",
      "│ 2025-05-01 14:36:04.917421 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.934      │\n",
      "│ 2025-05-01 14:36:04.919464 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.933      │\n",
      "│ 2025-05-01 14:36:04.919471 ┆ 96404.6   ┆ 96404.7   ┆ 5.107      ┆ 4.934      │\n",
      "│ 2025-05-01 14:36:04.931723 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.934      │\n",
      "│ 2025-05-01 14:36:04.946773 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.284      │\n",
      "│ 2025-05-01 14:36:04.946775 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.286      │\n",
      "│ 2025-05-01 14:36:04.946779 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.809      │\n",
      "│ 2025-05-01 14:36:04.948089 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.459      │\n",
      "│ 2025-05-01 14:36:04.948091 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.936      │\n",
      "│ 2025-05-01 14:36:04.948114 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.935      │\n",
      "│ 2025-05-01 14:36:04.949397 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.933      │\n",
      "│ 2025-05-01 14:36:04.949402 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.934      │\n",
      "│ 2025-05-01 14:36:04.949405 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.932      │\n",
      "│ 2025-05-01 14:36:04.949408 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.282      │\n",
      "│ 2025-05-01 14:36:04.950159 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.284      │\n",
      "│ 2025-05-01 14:36:04.951337 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.934      │\n",
      "│ 2025-05-01 14:36:04.952587 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 4.932      │\n",
      "│ 2025-05-01 14:36:04.954760 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.302      │\n",
      "│ 2025-05-01 14:36:04.955915 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.301      │\n",
      "│ 2025-05-01 14:36:04.956673 ┆ 96404.6   ┆ 96404.7   ┆ 5.001      ┆ 5.302      │\n",
      "│ 2025-05-01 14:36:04.960766 ┆ 96404.6   ┆ 96404.7   ┆ 5.003      ┆ 5.302      │\n",
      "│ 2025-05-01 14:36:04.970154 ┆ 96404.6   ┆ 96404.7   ┆ 5.003      ┆ 5.3        │\n",
      "│ 2025-05-01 14:36:04.978932 ┆ 96404.6   ┆ 96404.7   ┆ 5.109      ┆ 5.3        │\n",
      "│ 2025-05-01 14:36:04.981128 ┆ 96404.6   ┆ 96404.7   ┆ 5.109      ┆ 5.297      │\n",
      "│ 2025-05-01 14:36:04.981130 ┆ 96404.6   ┆ 96404.7   ┆ 5.103      ┆ 5.297      │\n",
      "│ 2025-05-01 14:36:04.981131 ┆ 96404.6   ┆ 96404.7   ┆ 5.103      ┆ 5.295      │\n",
      "│ 2025-05-01 14:36:04.981142 ┆ 96404.6   ┆ 96404.7   ┆ 5.109      ┆ 5.295      │\n",
      "└────────────────────────────┴───────────┴───────────┴────────────┴────────────┘\n"
     ]
    }
   ],
   "source": [
    "with pl.Config(tbl_rows=100):\n",
    "    print(df_book_ticker)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c1627dd-a627-4e03-ab1f-bcde70f56f00",
   "metadata": {},
   "source": [
    "## Fusing Multiple Depth Feeds\n",
    "\n",
    "To obtain the most frequent and fine-grained market depth updates, it is necessary to combine the depth feed with the book ticker feed. The [`FuseMarketDepth`](https://hftbacktest.readthedocs.io/en/latest/reference/data_utilities.html#hftbacktest.binding.FuseMarketDepth) utility helps fuse multiple depth update streams into a single order book view. HftBacktest includes a fused converter function [`convert_fuse`](https://hftbacktest.readthedocs.io/en/latest/reference/hftbacktest.data.utils.tardis.html#hftbacktest.data.utils.tardis.convert_fuse) for Tardis data.\n",
    " \n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note: Handling Timestamp Inconsistencies**  \n",
    "When fusing multiple depth feeds, it's possible that an event with a later exchange timestamp may be received before an event with an earlier timestamp from another feed. Accurately reconstructing the order book in such cases would require building a separate order book for each feed and then combining them.\n",
    "\n",
    "However, this utility builds only a single consolidated order book, where:\n",
    "- Updates are processed in order of local receipt time.\n",
    "- The price-level information are updated based on the exchange timestamp.\n",
    "\n",
    "If an older exchange-timestamped update arrives after a newer one for the same price level, it is discarded. This approach may lead to slight discrepancies between the local order book state and the actual state on the exchange.\n",
    "\n",
    "</div>\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note: Order Book Inconsistency Between Feeds**  \n",
    "Each depth feed may present a different snapshot of the order book. When combining them, inconsistencies may arise even if the fused result reflects more up-to-date information.\n",
    "\n",
    "For example:\n",
    "\n",
    "- A depth feed may show a best bid/ask (BBO) at 10/11.\n",
    "- A more current book ticker feed may show BBO at 10/14.\n",
    "\n",
    "When fused:\n",
    "\n",
    "The resulting book shows BBO at 10/14.\n",
    "But price levels above 14 (e.g., 15 and higher) still reflect outdated data from the original depth feed. This results in a partially updated and inconsistent order book. To maintain consistency with the depth feed’s original intent, you would need to build and maintain a separate order book for each feed.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f4c55174-81f3-4ce2-8552-871fd9d097ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correcting the latency\n",
      "Correcting the event order\n",
      "Saving to BTCUSDT_fused_20250501.npz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([(3489660929, 1746057600036000000, 1746057600038318000, 94125.2, 9.7830e+00, 0, 0, 0.),\n",
       "       (3758096385, 1746057600036000000, 1746057600038318000, 94125.1, 1.0882e+01, 0, 0, 0.),\n",
       "       (2684354562, 1746057600043000000, 1746057600046245000, 94125.2, 1.0000e-02, 0, 0, 0.),\n",
       "       ...,\n",
       "       (3758096385, 1746143999978000000, 1746143999980195000, 96423.2, 1.0130e+01, 0, 0, 0.),\n",
       "       (3758096385, 1746143999979000000, 1746143999982227000, 96423.2, 9.8140e+00, 0, 0, 0.),\n",
       "       (3758096385, 1746143999982000000, 1746143999985629000, 96423.2, 9.8170e+00, 0, 0, 0.)],\n",
       "      shape=(123281421,), dtype={'names': ['ev', 'exch_ts', 'local_ts', 'px', 'qty', 'order_id', 'ival', 'fval'], 'formats': ['<u8', '<i8', '<i8', '<f8', '<f8', '<u8', '<i8', '<f8'], 'offsets': [0, 8, 16, 24, 32, 40, 48, 56], 'itemsize': 64, 'aligned': True})"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from hftbacktest.data.utils.tardis import convert_fuse\n",
    "\n",
    "convert_fuse(\n",
    "    'BTCUSDT_trades_20250501.csv.gz', \n",
    "    'BTCUSDT_incremental_book_L2_20250501.csv.gz',\n",
    "    'BTCUSDT_book_ticker_20250501.csv.gz',\n",
    "    tick_size=0.1,\n",
    "    lot_size=0.001,\n",
    "    output_filename='BTCUSDT_fused_20250501.npz'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "291baf41-92c0-4be6-b66d-093248e212a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "roi_lb = 50000\n",
    "roi_ub = 150000\n",
    "\n",
    "asset = (\n",
    "    BacktestAsset()\n",
    "        .data(['BTCUSDT_fused_20250501.npz'])\n",
    "        .linear_asset(1.0) \n",
    "        .constant_order_latency(0, 0)\n",
    "        .power_prob_queue_model(3)\n",
    "        .no_partial_fill_exchange()\n",
    "        .trading_value_fee_model(-0.00005, 0.0007)\n",
    "        .tick_size(0.1)\n",
    "        .lot_size(0.001)\n",
    "        .roi_lb(roi_lb)    \n",
    "        .roi_ub(roi_ub)\n",
    ")\n",
    "\n",
    "hbt = ROIVectorMarketDepthBacktest([asset])\n",
    "\n",
    "timeout = 100_000_000 # 100ms\n",
    "\n",
    "l2_bbo_fused = record_l2_bbo(\n",
    "    hbt,\n",
    "    timeout\n",
    ")\n",
    "\n",
    "_ = hbt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "53c0c7d4-1598-4fda-9887-b910b13d3a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_l2_bbo_fused = pl.DataFrame(l2_bbo_fused)\n",
    "df_l2_bbo_fused.columns = ['Local Timestamp', 'Bid', 'Ask', 'Bid Qty', 'Ask Qty']\n",
    "\n",
    "df_l2_bbo_fused = df_l2_bbo_fused.with_columns(\n",
    "    pl.from_epoch('Local Timestamp', time_unit='ns')\n",
    ").filter(\n",
    "    (pl.col('Local Timestamp') > pl.lit('2025-05-01 14:36:03').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S')) &\n",
    "    (pl.col('Local Timestamp') < pl.lit('2025-05-01 14:36:5').str.strptime(pl.Datetime, '%Y-%m-%d %H:%M:%S'))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "28251eb0-6c67-4595-a95a-c70d596ab47e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "plt.step(df_l2_bbo['Local Timestamp'], df_l2_bbo['Bid'], where='post')\n",
    "plt.step(df_book_ticker['local_timestamp'], df_book_ticker['bid_price'], where='post')\n",
    "plt.step(df_l2_bbo_fused['Local Timestamp'], df_l2_bbo_fused['Bid'], where='post')\n",
    "plt.legend(['depth@0ms best bid', 'bookTicker best bid', 'fused best bid'])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "867f266d-949d-4008-8035-ea60032bf238",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JJ5yQSZMm5bXXXsvDDz+cxx9/PL17967VTllZWX7zm99k6623zu67777cKKHVTcACAAAAAEC9dNlll2XgwIHZb7/9sscee2TAgAHZfvvtax0zatSojBgxIqeeemp69eqV/fbbL1OnTk3nzp1rjmnWrFm+973vZfjw4enXr18qKioyZsyYmv0HHXRQ9tprr+y2227ZeOONc8stt6xUfZtvvnkOOeSQHHLIIVmwYEHOOOOMfPjhh5k1a1YeeuihjB49Oh988EHGjBlTa02Y1q1bZ+LEiXn99dezww475Ljjjsspp5ySU0455XPdrw022CA33HBDdtlll3zxi1/Mn/70p9x99921zr2iazjwwAMzZMiQDBo0KFtttVV+/vOf1+w/+uij84tf/CI33XRTtt5663zta1/Lr371q5oRLC1atMgll1ySHXbYITvuuGNeffXV3HfffTVB2BVXXJGJEyemc+fO2XbbbVdYw9ChQ3PyySfnhBNOyDbbbJMpU6bknHPOqdlfVlaWd999NyNGjEjPnj0zbNiw7L333jnvvPOWa6tRo0a55ZZbsuWWW2b33XevmXptTSgprMxEduupefPmpXXr1vnggw9qLZbTkFRWVua+++7LkCFDVnoOPgDWDH0yQP2hTwaoP/TJsHp89NFHmTFjRrp3716zZkhDcdNNN+Wkk07K+++/v0baX7JkSQ455JC88MILOeecczJkyJBsuOGG+fDDD3PvvffmRz/6UW699daa6cjWZdXV1Zk3b15atWpVayTRuubTvh6KyQ0scg8AAAAAAKuocePGGTt2bEaPHp0rr7wyhx9+eM26I/3798/FF1+8XoQrLE/AAgAAsBYVCoUsqix+AdU1qaK87HPN9Q0A0NCVlJRkxIgRGTFiRObPn5/33nsvbdu2TbNmzeq6NNYgAQsAANBgrGy4UVm5NG/MvS/H/OaHqVrNsyovWlK12ttcVWWF0nz09h5puvGB+d1/9xOyAADrpSOOOCJHHHHEWjtfixYt0qJFi7V2PuqOgAUAAKiXfnb7oblj7vOrtc3qQiErG2283eifc0qv7syhXk15XpW+Gz2YKa/tlkWVVWnW2I+IAACwsrx7BgAA6qVb338+75Wt7nSj+Pa2fbdjFn7UZbVW0bZFk+y3TafVnt0U49E3/pzfL3kzhZL6MZoGAADWNQIWAACgXvr41/6XbzosX9h4y8/d3uKl1fnebc8lSc7ff6s0/niEygpUVVXl+eeez65fHpqOnbb93Of+T/VhzZMPJ7yd389+s05rAACAdZmABQAAqDcWzn8rDz19fcpKGuWjf27bvNPO2WyzPT9/20uW5m8fVSRJvthn8KdOh1VZWZk3X22aLptsk/JyPzYBAADL85MCAABQb/z8D8fm5oXTlz0pteA6AABQf33ymHgAAIC17J0lH9R1CQAAACtFwAIAAAAAQL30la98JSeddNIaP0+3bt1y9dVXr/Lrzz333GyzzTYrfXxJSUnuuOOOVT7fylpb929NO+KII7L//vvXdRnLMUUYAAAUoVAoZFFlVV2XUW/Vh8XbAQBgdfqs97ff/OY389Of/jTf+c531lJF9cekSZOy2267Ze7cudlggw3qupy1TsACAEC9cO0dh+Wmuc+mJMn/tOuXb+5zwyq184cHz82Ff78tS1ZveUmSwhpoc13TvrIkf59xZhYWWq9w/w5dN8zv/rufkAUAgPXG7Nmzax7/9re/zfe///289NJLNdsqKirSokWLtGjRoi7KS5IsWbIkjRs3rrPzN1SmCAMAoF4Y/97zWVhakgWlJZnw1hOr3M4Dsx7IB6UlWbQGPj7ykdeaJN0qnv3E+//Ea3ON8AEAYLVaunRpTjjhhGywwQZp06ZNzj777BQK//rzp7lz52bEiBHZcMMN06xZs+y9997529/+VquNsWPHZsstt0yTJk3SrVu3XHHFFZ96zlGjRqV169aZOHFiOnToUPPRunXrlJSULLdtRVOE3XjjjTXn7NixY0444YRPPN8Pf/jDtG/fPs8880ySZMqUKRk4cGAqKirSuXPnnHjiiVmwYEHN8d26dcsFF1yQI444Iq1bt84xxxyzyvdvyZIlOf3007PJJpukefPm2WmnnTJp0qSa/a+99lr23XffbLjhhmnZsmX69euX++67L6+++mp22223JMmGG26YkpKSHHHEESus4d13382hhx6aL3zhC2nWrFn69u2bW265pdYxt912W/r27ZuKioq0adMme+yxR61r/ndPPvlk2rVrlwsvvPATr3ttMIIFAID10n81657/6n/2am3zo8qqHH7jY0mSG0bskKaNGtbfKx13/7F5syz5wb590nfLwbX2LVxSlR0u+GMdVQYAQNEKhaRyYd2cu7xZUsSI55tvvjnf+ta3MnXq1DzxxBM59thj07Vr15pQ4Ygjjsjf/va33HXXXWnVqlW+973vZciQIXnhhRdSXl6eJ598MsOGDcu5556bgw8+OFOmTMlxxx2XNm3arDAQuPzyy3PRRRdl/Pjx2XnnnVfpEq+99tqccsopufjii7P33nvngw8+yMMPP7zccYVCISeddFLuuOOOTJ48OT169Mjzzz+fwYMH5/zzz88vf/nLvP322znhhBNywgknZNSoUTWvveyyy3LOOefk7LM//eeez7p/Rx55ZF599dWMGTMmnTp1yu2335699torzz//fHr06JHjjz8+S5YsyZ///OdUVFTkiSeeSIsWLdK5c+eMHTs2Bx10UF566aW0atUqFRUVK6zho48+yvbbb5/vfe97adWqVe69994cfvjh2XTTTbPTTjtl9uzZOfTQQ3PppZfmgAMOyIcffpiHHnqoVhD0sUmTJmX//ffPRRddlP/5n/8p5r9ltROwAABQ77xdqMzo+76dQpLq6uIm5ppR+UFSmrSv6JgNN95utda1cElV3lzyXpKke5ed0qxxw3o7Xf7PfxuXla3Vay8rM9UBAMBqV7kw+VGnujn3/76ZNG6+0od37tw5V111VUpKStKrV688//zzueqqq3LMMcfUBCsPP/xw+vfvnyT5zW9+k86dO+eOO+7IN77xjVx55ZX56le/mnPOOSdJ0rNnz7zwwgu57LLLlgtYzjzzzNx8882ZNGlS+vbtu8qXeMEFF+TUU0/Nd7/73ZptO+64Y61jli5dmhEjRuSJJ57Iww8/nC984QtJlgUnw4cPr1mcvkePHvnJT36SXXfdNddee22aNm2aJNl9991z2mmnfWYtn3b/pk+fnltuuSWvv/56OnVa9vlw2mmnZdy4cRk1alR+9KMfZebMmTnooIPSt2/fVFdXp23btmnVqlVKS0uz0UYbJUnatWv3qWuwbLLJJrVq/c53vpNx48bld7/7XU3AsnTp0hx44IHp2rVrkqzw/t955505/PDDc/311+fQQw/9zGtf0xrWT4QAAKwTZpeV5NK3p6zai/85qGTCC3Nz7uTxq68o1rptC43Ts2m7dO3y5bouBQCAOrTzzjvXWuOvX79+ueKKK1JVVZVp06alUaNG2WmnnWr2t2nTJr169cq0adOSJNOmTcvQoUNrtbnLLrvk6quvTlVVVcrKypIkV1xxRRYsWJAnnngim2666SrX+9Zbb+XNN9/MV7/61U897uSTT06TJk3y6KOPpm3btjXbn3zyybzyyiv5zW9+U7OtUCikuro6M2bMSO/evZMkO+yww0rV82n376mnnkqhUEjPnj1rvWbx4sVp06ZNkuTEE0/M//zP/2TChAn56le/mkGDBtWEWSurqqoqF198cX7729/mjTfeyOLFi7N48eI0b74saNt6663z1a9+NX379s3gwYMzaNCgfP3rX8+GG25Y08bUqVNzzz335He/+10OOOCAos6/pghYAACoV/pWN8oXylulkOTN9xetUhulVU3z3Ad7rd7C/s0OXTdMRXnZGmufZOTG/TJiyP/VdRkAAOuv8mbLRpLU1blXkxVNIfXx9o9DhX9//Gmv+/KXv5x77703t956a84444xVrumTpsn6T3vuuWduueWWjB8/PocddljN9urq6nz729/OiSeeuNxrunTpUvP443Di86iurk5ZWVmefPLJmqDpYy1atEiSHH300Rk8eHDuvffejB8/PhdffHEuv/zyFdb3Sa644opcddVVufrqq9O3b980b948J510UpYsWZIkKSsry8SJEzNlypRMmDAh11xzTc4666xMnTo13bt3T5JsttlmadOmTW688cbss88+ady47ke6C1gAAKhXTt7mhOy47beycMnS9Pn+shEoT5y9R5o1rj+BRkV52XI/oAEAwDqlpKSoabrq0qOPPrrc8x49eqSsrCx9+vTJ0qVLM3Xq1JpRFe+++25efvnlmpEeffr0yeTJk2u1MWXKlPTs2bNWqPClL30p3/nOdzJ48OCUlZVl5MiRq1Rvy5Yt061bt/zpT3+qWQR+Rfbbb7/su+++GT58eMrKynLIIYckSbbbbrv89a9/zeabb75K5/9Pn3b/tt1221RVVeWtt97Kl7/8ySPHO3funP/+7//Osccem1NPPTW/+MUvcuKJJ9aEHFVVVZ9aw0MPPZShQ4fmv/7rv5IsC3b+9re/1fwfJUlJSUl22WWX7LLLLvn+97+frl275vbbb88pp5ySJGnbtm1+//vf5ytf+UoOPvjg3HrrrSkvL1/h+dYWAQsAAPVes8Zrd80PAACg/pg1a1ZOOeWUfPvb385TTz2Va665JldccUWSZeuTDB06NMccc0yuv/76tGzZMmeccUY22WSTmmnBTj311Oy44445//zzc/DBB+eRRx7JT3/60/z85z9f7lz9+vXLH/7wh+y1115p1KhRTj755FWq+dxzz81///d/p127dtl7773z4Ycf5uGHH853vvOdWscdcMABGT16dA4//PA0atQoX//61/O9730vO++8c44//vgcc8wxad68eaZNm5aJEyfmmmuuKbqWT7t/PXv2zGGHHZYRI0bkiiuuyLbbbpt33nkn999/f/r27ZshQ4bkpJNOyt57752ePXvm3XffzUMPPZQtttgiSdK1a9eUlJTknnvuyZAhQ1JRUVEz8uXfbb755hk7dmymTJmSDTfcMFdeeWXmzJlTE7BMnTo1f/rTnzJo0KC0a9cuU6dOzdtvv10rgEmWrfVy//33Z7fddsuhhx6aMWPGpFGjuvtZ0U+pAAAAAADUWyNGjMiiRYvypS99KWVlZfnOd76TY489tmb/qFGj8t3vfjdf+9rXsmTJkgwcODD33XdfzeiG7bbbLrfeemu+//3v5/zzz0/Hjh3zwx/+cLkF7j+2yy675N57782QIUNSVlZW1FRYH/vmN7+Zjz76KFdddVVOO+20tG3bNl//+tdXeOzXv/71VFdX5/DDD09paWkOPPDAPPjggznrrLPy5S9/OYVCIZtttlkOPvjgoutIVu7+XXDBBTn11FPzxhtvpE2bNunXr1+GDBmSZNnolOOPPz6vv/56WrVqld13370m6Nlkk01y3nnn5YwzzsiRRx6ZESNG5KabblquhnPOOSczZszI4MGD06xZsxx77LHZf//988EHHyRJWrVqlT//+c+5+uqrM2/evHTt2jVXXHFF9t577+Xa6tChQ+6///585StfyWGHHZb/9//+33LTm60tJYVPmqSuAZg3b15at26dDz74IK1atarrcupEZWVl7rvvvgwZMqTOh1MBNHT6ZBq6/W/8YqaXFXLjF09aboqwF3442AiWeuBrN/bNa2XJr7b9Xrb94n/V2re6/r/O+M1uuXfpO2tkDZZiamwIffKtE07K+bP/lK3mN8kjs87zdQbUWw2hT4a14aOPPsqMGTPSvXv3NG3atK7LYR1VXV2defPmpVWrViktLa3rclbZp309FJMbrLt3AAAAAAAAoI4IWAAAAAAAAIokYAEAAAAAACiSgAUAAAAAAKBIAhYAAAAAAIAiCVgAAAAAAACKJGABAAAAAAAokoAFAAAAAACgSI3qugAAAGDdcvcLv86Tr/2x1raq6kK+3PadJMnN9/42paUlq9T2K4vfS8qWtbdwydLPXeu/W7ikarW2BwAANGwCFgAAYKU0KSlNUp3fLX4jWfzG8gdsvOyfZ+bNXPWTlC37548vvJ/zJo9f9XYAAFgvFAqFfPvb385tt92WuXPn5umnn84222yz1uu46aabctJJJ+X9999f4f5XX3013bt3r7P6VqeSkpLcfvvt2X///eu6lHpPwAIAAKyUM7Y5Mfe++NtUp3r5nYXkzQ8+ykeVK9hXpNKqpnn6/X0+dzufZIeuG6aivGyNtQ8AwOozbty43HTTTZk0aVI23XTTtG3btq5LqjNHHHFE3n///dxxxx11XQr/JGABAABWyo7bfis7bvutT9xfKBSyqLL+T8NVUV6WkpJVm8IMAIC1a/r06enYsWP69+9f16XAcixyDwAArBYlJSVp1rhRvf8QrgAArBuOOOKIfOc738nMmTNTUlKSbt26JUm6deuWq6++utax22yzTc4999ya5+eee266dOmSJk2apFOnTjnxxBNr9i1ZsiSnn356NtlkkzRv3jw77bRTJk2aVKu9m266KV26dEmzZs1ywAEH5N13312pml988cX0798/TZs2zZZbbrlcuy+88EKGDBmSFi1apH379jn88MPzzjvv1Oy/7bbb0rdv31RUVKRNmzbZY489smDBgpx77rm5+eabc+edd6akpCQlJSXLtf2xcePGZcCAAdlggw3Spk2bfO1rX8v06dNrXf8JJ5yQjh07pmnTpunWrVsuuuiiT7ymH/7wh2nfvn2eeeaZlboHDYkRLAAAAAAADUyhUMiipYvq5NwVjSpW6o9efvzjH2ezzTbL//3f/+Xxxx9PWdnKTfN622235aqrrsqYMWOy5ZZbZs6cOXn22Wdr9h955JF59dVXM2bMmHTq1Cm333579tprrzz//PPp0aNHpk6dmqOOOio/+tGPcuCBB2bcuHH5wQ9+sFLnHjlyZK6++ur06dMnV155Zfbbb7/MmDEjbdq0yezZs7PrrrvmmGOOyZVXXplFixble9/7XoYNG5b7778/s2fPzqGHHppLL700BxxwQD788MM89NBDKRQKOe200zJt2rTMmzcvo0aNSpJstNFGK6xhwYIFOeWUU9K3b98sWLAg3//+93PAAQfkmWeeSWlpaX7yk5/krrvuyq233pouXbpk1qxZmTVr1nLtFAqFnHTSSbnjjjsyefLk9OjRI9XVn39K4PWJgAUAAAAAoIFZtHRRdvp/O9XJuacOn5pm5c0+87jWrVunZcuWKSsrS4cOHVa6/ZkzZ6ZDhw7ZY489Ul5eni5duuRLX/pSkmVTjt1yyy15/fXX06lTpyTJaaedlnHjxmXUqFH50Y9+lB//+McZPHhwzjjjjCRJz549M2XKlIwbN+4zz33CCSfkoIMOSpJce+21GTduXH75y1/m9NNPz7XXXpvtttsuP/rRj2qOv/HGG9O5c+e8/PLLmT9/fpYuXZoDDzwwXbt2TZL07du35tiKioosXrz4M+/Fx+f/2C9/+cu0a9cuL7zwQrbaaqvMnDkzPXr0yIABA1JSUlJzrn+3dOnSjBgxIk888UQefvjhfOELX/jMa2+ITBEGAAAAAMB64xvf+EYWLVqUTTfdNMccc0xuv/32LF26NEny1FNPpVAopGfPnmnRokXNx4MPPlgzjda0adPSr1+/Wm3+5/NP8u/HNWrUKDvssEOmTZuWJHnyySfzwAMP1DrvFltskWRZ8LP11lvnq1/9avr27ZtvfOMbueGGGzJ37tyir3/69OkZPnx4Nt1007Rq1Srdu3dPsix4SpZNvfbMM8+kV69eOfHEEzNhwoTl2jj55JPzyCOP5KGHHhKufAojWAAAAAAAGpiKRhWZOnxqnZ378ygtLU2hUKi1rbKysuZx586d89JLL2XixIn54x//mOOOOy6XXXZZHnzwwVRXV6esrCxPPvnkclOOtWjRIkmWa/vz+ng6tOrq6uy777655JJLljumY8eOKSsry8SJEzNlypRMmDAh11xzTc4666xMnTq1JiRZGfvuu286d+6cG264IZ06dUp1dXW22mqrLFmyJEmy3XbbZcaMGfnDH/6QP/7xjxk2bFj22GOP3HbbbTVt7Lnnnrnlllsyfvz4HHbYYZ/zDqy/BCwAAAAAAA1MSUnJSk3TVR9tvPHGmT17ds3zefPmZcaMGbWOqaioyH777Zf99tsvxx9/fLbYYos8//zz2XbbbVNVVZW33norX/7yl1fYfp8+ffLoo4/W2vafzz/Jo48+moEDByZZNs3Wk08+mRNOOCHJsmBj7Nix6datWxo1WvGv5ktKSrLLLrtkl112yfe///107do1t99+e0455ZQ0btw4VVVVn3r+d999N9OmTcv1119fc32TJ09e7rhWrVrl4IMPzsEHH5yvf/3r2WuvvfLee+/VrOuy3377Zd99983w4cNTVlaWQw45ZKWuv6ERsAAAAAAAsM7Yfffdc9NNN2XffffNhhtumHPOOafWaJSbbropVVVV2WmnndKsWbOMHj06FRUV6dq1a9q0aZPDDjssI0aMyBVXXJFtt90277zzTu6///707ds3Q4YMyYknnpj+/fvn0ksvzf77758JEyas1PorSfKzn/0sPXr0SO/evXPVVVdl7ty5Oeqoo5Ikxx9/fG644YYceuihGTlyZNq2bZtXXnklY8aMyQ033JAnnngif/rTnzJo0KC0a9cuU6dOzdtvv53evXsnSbp165bx48fnpZdeSps2bdK6deuUl5fXOv+GG26YNm3a5P/+7//SsWPHzJw5s2YtmY9dddVV6dixY7bZZpuUlpbmd7/7XTp06JANNtig1nEHHHBARo8encMPPzyNGjXK17/+9WL/q9Z71mABAAAAAGCdceaZZ2bgwIH52te+liFDhmT//ffPZpttVrN/gw02yA033JBddtklX/ziF/OnP/0pd999d9q0aZMkGTVqVEaMGJFTTz01vXr1yn777ZepU6emc+fOSZKdd945v/jFL3LNNddkm222yYQJE3L22WevVG0XX3xxLrnkkmy99dZ56KGHcuedd6Zt27ZJkk6dOuXhhx9OVVVVBg8enK222irf/e5307p165SWlqZVq1b585//nCFDhqRnz545++yzc8UVV2TvvfdOkhxzzDHp1atXdthhh2y88cZ5+OGHlzt/aWlpxowZkyeffDJbbbVVTj755Fx22WW1jmnRokUuueSS7LDDDtlxxx3z6quv5r777ktp6fJxwde//vXcfPPNOfzww/P73/9+pe5BQ1JSWN0Tyq1D5s2bl9atW+eDDz5Iq1at6rqcOlFZWZn77rsvQ4YMWS7tBGDt0ifT0O1/4xczvayQG794Unbc9ltZuGRp+nx/fJLkhR8OTrPGBl+z9jSEPvnWCSfl/Nl/ylbzm+SRWef5OgPqrYbQJ8Pa8NFHH2XGjBnp3r17mjZtWtflsI6qrq7OvHnz0qpVqxUGMuuKT/t6KCY3WHfvAAAAAAAAQB0RsAAAAAAAABSp6IDlww8/zEknnZSuXbumoqIi/fv3z+OPP17rmGnTpmW//fZL69at07Jly+y8886ZOXPmcm0VCoXsvffeKSkpyR133FFr34UXXpj+/funWbNmyy2u87GZM2dm3333TfPmzdO2bduceOKJWbJkSbGXBAAAAAAAUJSiA5ajjz46EydOzOjRo/P8889n0KBB2WOPPfLGG28kSaZPn54BAwZkiy22yKRJk/Lss8/mnHPOWeG8fldffXVKSkpWeJ4lS5bkG9/4Rv7nf/5nhfurqqqyzz77ZMGCBZk8eXLGjBmTsWPH5tRTTy32kgAAAAAAAIpS1AqGixYtytixY3PnnXdm4MCBSZJzzz03d9xxR6699tpccMEFOeusszJkyJBceumlNa/bdNNNl2vr2WefzZVXXpnHH388HTt2XG7/eeedlyS56aabVljLhAkT8sILL2TWrFnp1KlTkuSKK67IEUcckQsvvLDBLloPAACwKhYuqarrEmqpKC/7xD/IAwBWXaFQqOsSoM6trq+DogKWpUuXpqqqarnRKBUVFZk8eXKqq6tz77335vTTT8/gwYPz9NNPp3v37jnzzDOz//771xy/cOHCHHroofnpT3+aDh06rFLhjzzySLbaaquacCVJBg8enMWLF+fJJ5/MbrvtttxrFi9enMWLF9c8nzdvXpKksrIylZWVq1THuu7j626o1w9Qn+iTYZmq6qp/vj9bWrOtsrIylSV+EGTtaQh9cqG6OknySrOP0nPz72X4mFVvq3lVad6cdWz+sbT7aqou2b7LBrnl6B2FLECD6JNhbSgUCikUClm8eHGaNGlS1+Wwjvo4mCgUCqn+5/vJddH8+fNrruU/v78U8/2mqIClZcuW6devX84///z07t077du3zy233JKpU6emR48eeeuttzJ//vxcfPHFueCCC3LJJZdk3LhxOfDAA/PAAw9k1113TZKcfPLJ6d+/f4YOHVrM6WuZM2dO2rdvX2vbhhtumMaNG2fOnDkrfM1FF11UMzLm302YMCHNmjVb5VrWBxMnTqzrEgD4J30yDVVVdXVSVpIXXpiWf7x+XxZXJR+/XR0/fkKalNVpeTRQ63OfPH/Z35vlo9KSzC568uj/UF7IVi0fzj/mrr6A5cmZ7+eOe/7gax+osT73ybC2bLTRRqmurs7GG2/sjxj4XN599926LmGVFAqFLFmyJO+8807mzp2bv/3tb8sds3DhwpVur6iAJUlGjx6do446KptssknKysqy3XbbZfjw4XnqqadqEquhQ4fm5JNPTpJss802mTJlSq677rrsuuuuueuuu3L//ffn6aefLvbUy1lRJ1AoFD6xczjzzDNzyimn1DyfN29eOnfunEGDBjXYKcUqKyszceLE7LnnnikvL6/rcgAaNH0yDd2o0eckKaRPn97Z/otDsnDJ0pz+2P1JksGDB6VZ46LfusIqaxh98pB8ZdbkzJ03M0uqVn2E2LXP/STPlFZm6NYdct2Xd//cVS1aUpWdL3kwia99YJmG0SfD2lFZWZmZM2eus78cp+4VCoV89NFHadq06Tod0m288cbZcsstV3gNH898tTKKfqe62Wab5cEHH8yCBQsyb968dOzYMQcffHC6d++etm3bplGjRunTp0+t1/Tu3TuTJ09Oktx///2ZPn16Nthgg1rHHHTQQfnyl7+cSZMmrVQdHTp0yNSpU2ttmzt3biorK5cb2fKxJk2arHD4W3l5eYP/Bu0eANQf+mQaurLSsmVfB4V/vdFd9nXhl6ysfet7n7zZpstPrVysW/76f0mhMo0blaV184rP3V55+dJ/e+xrH/iX9b1PhrWhvLw8PXv2zJIlS+q6FNZRlZWV+fOf/5yBAweus31yeXl5yso+eZh0Mde1yu9UmzdvnubNm2fu3LkZP358Lr300jRu3Dg77rhjXnrppVrHvvzyy+natWuS5IwzzsjRRx9da3/fvn1z1VVXZd99913p8/fr1y8XXnhhZs+enY4dOyZZNtVXkyZNsv3226/qZQEAAAAArLdKS0uXW2MbVlZZWVmWLl2apk2brrMBy+pUdMAyfvz4FAqF9OrVK6+88kpGjhyZXr165cgjj0ySjBw5MgcffHAGDhyY3XbbLePGjcvdd99dMzKlQ4cOK1zYvkuXLune/V/z9c6cOTPvvfdeZs6cmaqqqjzzzDNJks033zwtWrTIoEGD0qdPnxx++OG57LLL8t577+W0007LMccc02Cn+wIAAAAAANaOogOWDz74IGeeeWZef/31bLTRRjnooINy4YUX1qRVBxxwQK677rpcdNFFOfHEE9OrV6+MHTs2AwYMKOo83//+93PzzTfXPN92222TJA888EC+8pWvpKysLPfee2+OO+647LLLLqmoqMjw4cNz+eWXF3tJAAAAAAAARSk6YBk2bFiGDRv2qcccddRROeqoo1a6zUJh+QUVb7rpptx0002f+rouXbrknnvuWenzAABQ996fOyNn3HVI3qn+qNb2WaXVSdbdRRIBAABoWKwWCADAWvXo86PzcBYmpf+5Z1m40qFtn7VeEwAAABRLwAIAwFpVKFTXPL5+y/+ptW+Tjfumc+d+a7skAAAAKJqABQCAOvGlQpP03+G4ui4DAAAAVslyEzMAAAAAAADw6QQsAACsVU/MfrSuSwAAAIDPTcACAMBadeviN5Ik1Z9xHAAAANRnAhYAANaqiupCkuTI3ofXcSUAAACw6ixyDwBAndh0k53qugRgNbp81rj87MZxy23vXlaRaw+ZlPImzeugKgAAWHOMYAEAAGCVdW/eIUnyYWlJ3ipb/mNqPsrLM8bXcZUAALD6GcECAMAa99prD+Wt915OYu0VWN+cfMBt2ffvE1K59KPl9h035ey8W1aSFAp1UBkAAKxZAhYAANaoaS/dmWGPnv2vDaUly/4p9VYU1gclpaXpsfleK9zXeMrZK9wOAADrAz/VAgCwRr3x9gtJkibVhWxSWDZD7ZZN2qZjh+3qsiwAAAD4XAQsAACsFX1KmuRXRz5Z12UAAADAamGRewAAAAAAgCIJWAAAWGP+PuP+nDz9/9V1GUAdO+Sxc3PMzV/K/A9n13UpAACw2ghYAABYYyb95dc1jzs3bl2HlQB1oXNp05rHj2ZRnp72uzqsBgAAVi8BCwAAa0whhSRJ96qSnPuNe+q4GmBt+9nBE3PzNiPTvaokSVIoVNVxRQAAsPoIWAAAWOO2btou5eXN6roMYC1rWrFhttt6RJqXlNV1KQAAsNoJWAAAAAAAAIokYAEAAAAAACiSgAUAAIC14v0Fb9d1CQAAsNoIWAAAWCMWf/RBrn7vibouA6gH3kxlkuS9hW/VcSUAALD6CFgAAFgjnpt2W83jjhUb12ElQF3rWtIkSdKkUdM6rgQAAFYfAQsAAGtEdaGq5vGxXxtVh5UAda1tWbO6LgEAAFa7RnVdAAAA64f5H87O7x/6Qbq33SolKcmL/3gySbJ5VUkalfurdQAAANYvAhYAAFaLfr8ftOzB24/U2l5aUlIH1QAAAMCaJWABAGC1611dliQpSTK86151Wwywzlq4pOqzD1pLKsrLUiIwBgDg3whYAABY7W498pm6LgGoh370jwfz3G92+9RjCoVCdtlkUZLku6N+mCSpXrhZHpl72Bqv79Ps0HXD/O6/+wlZAACoIWABAABgjWpd3ixZ/H6S5J6l73z2C1r95/Pns80GZ6a0sOJwo3FVo8z8x4i8uWTzz1fop3jitbl5d8GSNGtctsbOsa4zygcAaGgELAAAAKxRJ+xxTXo+8ZMsqVqykq8opKq6kKWFpblm7pNJkulNC0kKn3D8kqTFL9Kz6pP2fz5V1cvaPXjMGml+jWlcKEnJ7H3ywsKBa+V8RvkAAA2NgAUAAIA1qk3bnjl0r5+u0mv3nvVIXnztgU/cP+pvv8vzpUuTJLPL1tAv9tdUu2vBtq0eTdZSwPLEa3OzqLIqzRr7VQMA0DB41wMAAEC91blzv3Tu3O8T9+/R/4y88vcJWbzkwzVWQyHJkqXVa6z9NeH3z/9f7lr6Vrbo2DLXHTd4jZ5r4ZKq7HDBH9foOQAA6iMBCwAAq9VJG+1Q1yUADUhJaWl6bL5XXZdR7zz8ym3Jh2+lrKTEiBIAgDWktK4LAABg/dCzetlby94dBCwAAACs/wQsAACsFjVLS1vcGKDe+PWiV1NdtbSuywAAWC8JWAAAWK1KSrzFBKhrLcpb1jx+btqtdVgJAMD6y0SsAAB8bnfef0b+VrpsAeiSGMECUNe+sev5uer2ZWvTLFo8b62dd+GSqrV2LtY/FeVlKTESFoB1iIAFAIDP7ZbXxtWMjd6k3VZ1WwwAadlqk/SoLs3fSqtzwvM/TdlzP12j52vXa9lEkUN+t0ZPwxrUrrIkb7723SwtlK/U8YuqW6YyTT/zuPJ8lIrSD1eqzR7tWuSa4dsuN9toVWVlFnz0dv7x9vSUla9cfWtLkyat07TpBmv1nIIogPpDwAIAwOdW/c9/z2r/lXTuvEud1gLAMn2abJy/Vf4jS0pKsuYHF/pl77rutSZJev5kpY9vmmSr1wdmfmW7TzymZfns/O0LD/9rnbbP8HKSwX/45P0XTfzxSte3Nn3xrR55a8HWa+18nTZompP36OnLDhqgxmUlqz1gbdGsXTp37rda22xIBCwAAKw2X9ioZ12XAMA/nX/IhBw356lUV6/5Re4LKWTx0pX9NTr1zbkPnJBnSyuLft0rX/jzp+6fs6oFrWOea/e3JH9ba+ebk+TwJ9fa6YD13O6lrfLjwx+u6zLWWQIWAAAAWA+VlJamU6cd6roM1gG/PvKpVC1dstLH/2bCCRk9Z0rNCNZPU5rkyE675uA9rvrU4wqFQhZVrngNn8qllZk44Y/Zc9AeKW9Uf6YIm/LUT3L1y7/JkpUeo/P5VRcEmdCQla6B6QE3aNxstbfZkAhYAAAAABq4skaNV/rYEUP+LyPWQA0tPyE7qaysTNPyRmlZ0Szl9WgNlsEDzsjgAWes1XN+WhAFrP+swVT/CFgAAAAAYB1QUlKSZo39Og+gviit6wIAAAAAAADWNQIWAAAAAACAIhlTCADAKilUV+f1Nx5JVdXSLCmszDK3AAAAsP4QsAAAsEp+eOveuW3xm8uelNVtLQAAALC2CVgAAFglLyz6R1KaVFQX0ihJh5Slb89967osAAAAWCsELAAArJLqFJIkV23139llxxPquBoAAABYuyxyDwDAKqn657+lpf5mBwAAgIZHwAIAwCqpLiwbwVImYAEAAKABErAAALBKPh7BUlLiLSUAAAANjz83BADgM304740sWjQ3S6s+yhHjjshbpUlVWUmSpKzEW0oAAAAaHj8NAwDwqSY/dk2+88L1WVqyLFDJP4OVJGldXUj3zrvUUWUAAABQdwQsAAB8qr/OfixLS0pSUiikLEk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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "plt.step(df_l2_bbo['Local Timestamp'], df_l2_bbo['Ask'], where='post')\n",
    "plt.step(df_book_ticker['local_timestamp'], df_book_ticker['ask_price'], where='post')\n",
    "plt.step(df_l2_bbo_fused['Local Timestamp'], df_l2_bbo_fused['Ask'], where='post')\n",
    "plt.legend(['depth@0ms best ask', 'bookTicker best ask', 'fused best ask'])\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71d4e8c2-1902-403b-8ef2-5199f584caa0",
   "metadata": {},
   "source": [
    "## Backtest Results Comparison\n",
    "\n",
    "We now compare backtesting results between fused and non-fused data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d5a8db72-54bc-4662-aba4-8589eb90013e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numba import uint64\n",
    "from numba.typed import Dict\n",
    "from hftbacktest import (\n",
    "    GTX,\n",
    "    LIMIT,\n",
    "    BUY,\n",
    "    SELL,\n",
    "    Recorder\n",
    ")\n",
    "from hftbacktest.stats import LinearAssetRecord\n",
    "\n",
    "@njit\n",
    "def basic_mm(\n",
    "    hbt,\n",
    "    stat,\n",
    "    half_spread,\n",
    "    skew,\n",
    "    interval,\n",
    "    order_qty_dollar,\n",
    "    max_position_dollar,\n",
    "    grid_num,\n",
    "    grid_interval\n",
    "):\n",
    "    asset_no = 0\n",
    "\n",
    "    tick_size = hbt.depth(0).tick_size\n",
    "    lot_size = hbt.depth(0).lot_size\n",
    "    \n",
    "    while hbt.elapse(interval) == 0:\n",
    "        hbt.clear_inactive_orders(asset_no)\n",
    "\n",
    "        orders = hbt.orders(asset_no)\n",
    "        depth = hbt.depth(asset_no)\n",
    "        position = hbt.position(asset_no)\n",
    "\n",
    "        best_bid = depth.best_bid\n",
    "        best_ask = depth.best_ask\n",
    "        \n",
    "        mid_price = (best_bid + best_ask) / 2.0\n",
    "        mid_price_tick = (depth.best_bid_tick + depth.best_ask_tick) / 2.0\n",
    "\n",
    "        #--------------------------------------------------------\n",
    "        # Computes bid price and ask price.\n",
    "\n",
    "        order_qty = max(round((order_qty_dollar / mid_price) / lot_size) * lot_size, lot_size)\n",
    "        \n",
    "        normalized_position = position / order_qty\n",
    "\n",
    "        relative_bid_depth = half_spread + skew * normalized_position\n",
    "        relative_ask_depth = half_spread - skew * normalized_position\n",
    "\n",
    "        bid_price = min(mid_price * (1.0 - relative_bid_depth), best_bid)\n",
    "        ask_price = max(mid_price * (1.0 + relative_ask_depth), best_ask)\n",
    "        \n",
    "        bid_price = np.floor(bid_price / tick_size) * tick_size\n",
    "        ask_price = np.ceil(ask_price / tick_size) * tick_size\n",
    "\n",
    "        #--------------------------------------------------------\n",
    "        # Updates quotes.\n",
    "        \n",
    "        # Creates a new grid for buy orders.\n",
    "        new_bid_orders = Dict.empty(np.uint64, np.float64)\n",
    "        if position * mid_price < max_position_dollar and np.isfinite(bid_price):\n",
    "            for i in range(grid_num):\n",
    "                bid_price_tick = round(bid_price / tick_size)\n",
    "                \n",
    "                # order price in tick is used as order id.\n",
    "                new_bid_orders[uint64(bid_price_tick)] = bid_price\n",
    "                \n",
    "                bid_price -= grid_interval\n",
    "\n",
    "        # Creates a new grid for sell orders.\n",
    "        new_ask_orders = Dict.empty(np.uint64, np.float64)\n",
    "        if position * mid_price > -max_position_dollar and np.isfinite(ask_price):\n",
    "            for i in range(grid_num):\n",
    "                ask_price_tick = round(ask_price / tick_size)\n",
    "                \n",
    "                # order price in tick is used as order id.\n",
    "                new_ask_orders[uint64(ask_price_tick)] = ask_price\n",
    "\n",
    "                ask_price += grid_interval\n",
    "                \n",
    "        order_values = orders.values();\n",
    "        while order_values.has_next():\n",
    "            order = order_values.get()\n",
    "            # Cancels if a working order is not in the new grid.\n",
    "            if order.cancellable:\n",
    "                if (\n",
    "                    (order.side == BUY and order.order_id not in new_bid_orders)\n",
    "                    or (order.side == SELL and order.order_id not in new_ask_orders)\n",
    "                ):\n",
    "                    hbt.cancel(asset_no, order.order_id, False)\n",
    "                    \n",
    "        for order_id, order_price in new_bid_orders.items():\n",
    "            # Posts a new buy order if there is no working order at the price on the new grid.\n",
    "            if order_id not in orders:\n",
    "                hbt.submit_buy_order(asset_no, order_id, order_price, order_qty, GTX, LIMIT, False)\n",
    "                \n",
    "        for order_id, order_price in new_ask_orders.items():\n",
    "            # Posts a new sell order if there is no working order at the price on the new grid.\n",
    "            if order_id not in orders:\n",
    "                hbt.submit_sell_order(asset_no, order_id, order_price, order_qty, GTX, LIMIT, False)\n",
    "        \n",
    "        # Records the current state for stat calculation.\n",
    "        stat.record(hbt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c4cd4208-a8c5-41ea-a7cb-b0578e548fda",
   "metadata": {},
   "outputs": [],
   "source": [
    "roi_lb = 50000\n",
    "roi_ub = 150000\n",
    "\n",
    "half_spread = 0.0005 # a ratio relative to the fair price\n",
    "skew = half_spread / 20\n",
    "interval = 100_000_000 # in nanoseconds. 100ms\n",
    "order_qty_dollar = 50_000\n",
    "max_position_dollar = 1_000_000\n",
    "grid_num = 1\n",
    "grid_interval = 0.1\n",
    "\n",
    "asset = (\n",
    "    BacktestAsset()\n",
    "        .data(['BTCUSDT_nonfused_20250501.npz'])\n",
    "        .linear_asset(1.0) \n",
    "        .intp_order_latency(['../latency/order_latency_20250501.npz'])\n",
    "        .power_prob_queue_model(3)\n",
    "        .no_partial_fill_exchange()\n",
    "        .trading_value_fee_model(-0.00005, 0.0007)\n",
    "        .tick_size(0.1)\n",
    "        .lot_size(0.001)\n",
    "        .roi_lb(roi_lb)    \n",
    "        .roi_ub(roi_ub)\n",
    ")\n",
    "\n",
    "hbt = ROIVectorMarketDepthBacktest([asset])\n",
    "\n",
    "recorder = Recorder(1, 60_000_000)\n",
    "\n",
    "basic_mm(\n",
    "    hbt,\n",
    "    recorder.recorder,\n",
    "    half_spread,\n",
    "    skew,\n",
    "    interval,\n",
    "    order_qty_dollar,\n",
    "    max_position_dollar,\n",
    "    grid_num,\n",
    "    grid_interval\n",
    ")\n",
    "\n",
    "_ = hbt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39884550-8526-4657-87ad-85a99360cb62",
   "metadata": {},
   "source": [
    "### Backtesting with Non-Fused Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2fdb72e8-1ded-47e5-bdcd-b2fd0497e345",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>start</th><th>end</th><th>SR</th><th>Sortino</th><th>Return</th><th>MaxDrawdown</th><th>DailyNumberOfTrades</th><th>DailyTurnover</th><th>ReturnOverMDD</th><th>ReturnOverTrade</th><th>MaxPositionValue</th></tr><tr><td>datetime[μs]</td><td>datetime[μs]</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>2025-05-01 00:00:00</td><td>2025-05-01 23:59:59</td><td>11.17529</td><td>15.92313</td><td>0.001077</td><td>0.00115</td><td>128.001481</td><td>6.4003</td><td>0.936022</td><td>0.000168</td><td>402046.58425</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 11)\n",
       "┌────────────┬───────────┬──────────┬──────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
       "│ start      ┆ end       ┆ SR       ┆ Sortino  ┆ … ┆ DailyTurn ┆ ReturnOve ┆ ReturnOve ┆ MaxPositi │\n",
       "│ ---        ┆ ---       ┆ ---      ┆ ---      ┆   ┆ over      ┆ rMDD      ┆ rTrade    ┆ onValue   │\n",
       "│ datetime[μ ┆ datetime[ ┆ f64      ┆ f64      ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ---       │\n",
       "│ s]         ┆ μs]       ┆          ┆          ┆   ┆ f64       ┆ f64       ┆ f64       ┆ f64       │\n",
       "╞════════════╪═══════════╪══════════╪══════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
       "│ 2025-05-01 ┆ 2025-05-0 ┆ 11.17529 ┆ 15.92313 ┆ … ┆ 6.4003    ┆ 0.936022  ┆ 0.000168  ┆ 402046.58 │\n",
       "│ 00:00:00   ┆ 1         ┆          ┆          ┆   ┆           ┆           ┆           ┆ 425       │\n",
       "│            ┆ 23:59:59  ┆          ┆          ┆   ┆           ┆           ┆           ┆           │\n",
       "└────────────┴───────────┴──────────┴──────────┴───┴───────────┴───────────┴───────────┴───────────┘"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = recorder.get(0)\n",
    "stats = (\n",
    "    LinearAssetRecord(data)\n",
    "        .resample('1s')\n",
    "        .stats(book_size=1_000_000)\n",
    ")\n",
    "stats.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0413648c-20c2-48b9-bcbf-40e324f10676",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1b003967-51da-4162-b964-a14d0d29ea9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "asset = (\n",
    "    BacktestAsset()\n",
    "        .data(['BTCUSDT_fused_20250501.npz'])\n",
    "        .linear_asset(1.0) \n",
    "        .intp_order_latency(['../latency/order_latency_20250501.npz'])\n",
    "        .power_prob_queue_model(3)\n",
    "        .no_partial_fill_exchange()\n",
    "        .trading_value_fee_model(-0.00005, 0.0007)\n",
    "        .tick_size(0.1)\n",
    "        .lot_size(0.001)\n",
    "        .roi_lb(roi_lb)    \n",
    "        .roi_ub(roi_ub)\n",
    ")\n",
    "\n",
    "hbt = ROIVectorMarketDepthBacktest([asset])\n",
    "\n",
    "recorder = Recorder(1, 60_000_000)\n",
    "\n",
    "basic_mm(\n",
    "    hbt,\n",
    "    recorder.recorder,\n",
    "    half_spread,\n",
    "    skew,\n",
    "    interval,\n",
    "    order_qty_dollar,\n",
    "    max_position_dollar,\n",
    "    grid_num,\n",
    "    grid_interval\n",
    ")\n",
    "\n",
    "_ = hbt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f32484ce-7b06-4824-b05a-2352102235bd",
   "metadata": {},
   "source": [
    "### Backtesting with Fused Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9bcf43b0-44cc-4d45-8139-5a8d260068f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>start</th><th>end</th><th>SR</th><th>Sortino</th><th>Return</th><th>MaxDrawdown</th><th>DailyNumberOfTrades</th><th>DailyTurnover</th><th>ReturnOverMDD</th><th>ReturnOverTrade</th><th>MaxPositionValue</th></tr><tr><td>datetime[μs]</td><td>datetime[μs]</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>2025-05-01 00:00:00</td><td>2025-05-01 23:59:59</td><td>10.345893</td><td>14.320701</td><td>0.001011</td><td>0.001167</td><td>119.001377</td><td>5.950202</td><td>0.865768</td><td>0.00017</td><td>301079.3632</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1, 11)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ start     ┆ end       ┆ SR        ┆ Sortino   ┆ … ┆ DailyTurn ┆ ReturnOve ┆ ReturnOve ┆ MaxPosit │\n",
       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ over      ┆ rMDD      ┆ rTrade    ┆ ionValue │\n",
       "│ datetime[ ┆ datetime[ ┆ f64       ┆ f64       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ---      │\n",
       "│ μs]       ┆ μs]       ┆           ┆           ┆   ┆ f64       ┆ f64       ┆ f64       ┆ f64      │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ 2025-05-0 ┆ 2025-05-0 ┆ 10.345893 ┆ 14.320701 ┆ … ┆ 5.950202  ┆ 0.865768  ┆ 0.00017   ┆ 301079.3 │\n",
       "│ 1         ┆ 1         ┆           ┆           ┆   ┆           ┆           ┆           ┆ 632      │\n",
       "│ 00:00:00  ┆ 23:59:59  ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = recorder.get(0)\n",
    "stats = (\n",
    "    LinearAssetRecord(data)\n",
    "        .resample('1s')\n",
    "        .stats(book_size=1_000_000)\n",
    ")\n",
    "stats.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2d784111-1f7b-4c65-b9d6-101608d1e694",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "909bc09a-29ac-4819-b10b-6aba53656ff5",
   "metadata": {},
   "source": [
    "You may notice slight differences in order fills, which lead to position discrepancies and, ultimately, equity differences — particularly between 03:00 and 15:00. These order fill differences are closely tied to the order placement behavior, which depends on the characteristics of the strategy. The differences in the BBO as shown above can result in significant equity divergence during backtesting.\n",
    "\n",
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note:** Some tutorial—especially older ones—were not backtested with fused market depth.\n",
    "\n",
    "</div>\n",
    "\n",
    "# Wrapping up\n",
    "\n",
    "Since it uses more frequent data feeds, the backtesting process takes longer. There is always a trade-off between accuracy and speed in backtesting—there is no one-size-fits-all solution. Relaxing certain conditions, such as order queue position and latency modeling, can significantly speed up the process. Not all strategies require precise modeling of these factors, especially when dealing with small tick sizes and highly volatile assets like BTCUSDT. Please see [the next tutorial](https://hftbacktest.readthedocs.io/en/latest/tutorials/Accelerated%20Backtesting.html) about accelerated backtesting."
   ]
  }
 ],
 "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": "3.11.9"
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