diff --git a/fastlane_bot/data/event_test_data.json b/fastlane_bot/data/event_test_data.json
index ac94ed0cd..962c0381f 100644
--- a/fastlane_bot/data/event_test_data.json
+++ b/fastlane_bot/data/event_test_data.json
@@ -221,10 +221,10 @@
   },
   "bancor_v2_event": {
     "args": {
-      "_token1": "0xB2607CB158bc222DD687e4D794c607B5ce983Ce2",
-      "_token2": "0x7f39C581F595B53c5cb19bD0b3f8dA6c935E2Ca0",
-      "_rateN": 701296523896722535,
-      "_rateD": 124447579392500555356},
+      "_token1": "0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE",
+      "_token2": "0x1F573D6Fb3F13d689FF844B4cE37794d79a7FF1C",
+      "_rateN": 5698079648237338312679700,
+      "_rateD": 1404376232459809237924},
     "event": "TokenRateUpdate",
     "logIndex": 106,
     "transactionIndex": 22,
diff --git a/fastlane_bot/data/tests/latest_pool_data_testing_bancor_v2.json b/fastlane_bot/data/tests/latest_pool_data_testing_bancor_v2.json
new file mode 100644
index 000000000..9c893c115
--- /dev/null
+++ b/fastlane_bot/data/tests/latest_pool_data_testing_bancor_v2.json
@@ -0,0 +1 @@
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"0xB13201b48B1E61593DF055576964D0b3AaB66eA3", "anchor": NaN, "tkn0_address": "0x6DEA81C8171D0bA574754EF6F8b412F2Ed88c54D", "tkn1_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "tkn0_key": "LQTY-c54D", "tkn1_key": "WETH-6Cc2", "tkn0_decimals": 18, "tkn1_decimals": 18, "exchange_id": NaN, "tkn0_symbol": "LQTY", "tkn1_symbol": "WETH", "timestamp": "10:52:53", "tkn0_balance": 15701130915172508042519, "tkn1_balance": 7484693007393670912, "liquidity": NaN, "sqrt_price_q96": NaN, "tick": NaN, "tick_spacing": 60.0, "exchange": "uniswap_v2"}, {"cid": "0x70669ef3124976dac76f5ee569f14605a232a4ce5be3e8857d081e366ef99d88", "last_updated": NaN, "last_updated_block": 18009789, "descr": "uniswap_v2 DODO-4DDd/WETH-6Cc2 0.003", "pair_name": "DODO-4DDd/WETH-6Cc2", "exchange_name": "uniswap_v2", "fee": 3000.0, "fee_float": 0.003, "address": "0x68Fa181c720C07B7FF7412220E2431ce90A65A14", "anchor": NaN, "tkn0_address": "0x43Dfc4159D86F3A37A5A4B3D4580b888ad7d4DDd", "tkn1_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "tkn0_key": "DODO-4DDd", "tkn1_key": "WETH-6Cc2", "tkn0_decimals": 18, "tkn1_decimals": 18, "exchange_id": 3.0, "tkn0_symbol": "DODO", "tkn1_symbol": "WETH", "timestamp": "10:52:53", "tkn0_balance": 598557027886914882087556, "tkn1_balance": 34177534894045928218, "liquidity": NaN, "sqrt_price_q96": NaN, "tick": NaN, "tick_spacing": 60.0, "exchange": "uniswap_v2"}, {"cid": "0x0609167549acde324c9ddbf2292928355bf518fec69408f0e40be09ae12e1e44", "last_updated": NaN, "last_updated_block": 18009784, "descr": "uniswap_v2 WETH-6Cc2/CyOp-2f31 0.003", "pair_name": "WETH-6Cc2/CyOp-2f31", "exchange_name": "uniswap_v2", "fee": 3000.0, "fee_float": 0.003, "address": "0x1b1c28A89cAAc877C63d0adaC173a0B55921AB65", "anchor": NaN, "tkn0_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "tkn1_address": "0xddaC9C604BA6Bc4ACEc0FBB485B83f390ECF2f31", "tkn0_key": "WETH-6Cc2", "tkn1_key": "CyOp-2f31", "tkn0_decimals": 18, "tkn1_decimals": 9, "exchange_id": 3.0, "tkn0_symbol": "WETH", "tkn1_symbol": "CyOp", "timestamp": "10:52:54", "tkn0_balance": 14317625214, "tkn1_balance": 155446886325, "liquidity": NaN, "sqrt_price_q96": NaN, "tick": NaN, "tick_spacing": 60.0, "exchange": "uniswap_v2"}, {"cid": "0x4e9b2b5072716fd958f3ddbd80a6f04c695a80757425d7c328b9712afdb04406", "last_updated": NaN, "last_updated_block": 18009781, "descr": "uniswap_v3 SYN-9F29/WETH-6Cc2 10000", "pair_name": "SYN-9F29/WETH-6Cc2", "exchange_name": "uniswap_v3", "fee": 10000.0, "fee_float": 0.01, "address": "0x2Dd35B4Da6534230Ff53048f7477f17F7f4E7a70", "anchor": NaN, "tkn0_address": "0x0f2D719407FdBeFF09D87557AbB7232601FD9F29", "tkn1_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "tkn0_key": "SYN-9F29", "tkn1_key": "WETH-6Cc2", "tkn0_decimals": 18, "tkn1_decimals": 18, "exchange_id": 4.0, "tkn0_symbol": "SYN", "tkn1_symbol": "WETH", "timestamp": "10:53:06", "tkn0_balance": NaN, "tkn1_balance": NaN, "liquidity": 8850176300410818350731, "sqrt_price_q96": 1248360343664341157907024718, "tick": -83015, "tick_spacing": 200.0, "exchange": "uniswap_v3"}, {"cid": "0x264f0cb9821c4346419d95dee36c1b247ffef6acd57c8b82f884cc56a54aa42c", "last_updated": NaN, "last_updated_block": 18009768, "descr": "uniswap_v2 POWR-1269/WETH-6Cc2 0.003", "pair_name": "POWR-1269/WETH-6Cc2", "exchange_name": "uniswap_v2", "fee": 3000.0, "fee_float": 0.003, "address": "0x3C442baB170F19Dd40D0b1a405C9d93b088B9332", "anchor": NaN, "tkn0_address": "0x595832F8FC6BF59c85C527fEC3740A1b7a361269", "tkn1_address": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "tkn0_key": "POWR-1269", "tkn1_key": "WETH-6Cc2", "tkn0_decimals": 6, "tkn1_decimals": 18, "exchange_id": 3.0, "tkn0_symbol": "POWR", "tkn1_symbol": "WETH", "timestamp": "10:52:54", "tkn0_balance": 167166105883, "tkn1_balance": 14166597154145668523, "liquidity": NaN, "sqrt_price_q96": NaN, "tick": NaN, "tick_spacing": 60.0, "exchange": "uniswap_v2"}]
\ No newline at end of file
diff --git a/resources/NBTest/NBTest_033_Pools.ipynb b/resources/NBTest/NBTest_033_Pools.ipynb
index 6d08f0488..1b65fb0f3 100644
--- a/resources/NBTest/NBTest_033_Pools.ipynb
+++ b/resources/NBTest/NBTest_033_Pools.ipynb
@@ -96,32 +96,35 @@
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "## test_bancor_v2_pool"
-   ],
+   "id": "5e07f1229048cd9c",
    "metadata": {
     "collapsed": false
    },
-   "id": "5e07f1229048cd9c"
+   "source": [
+    "## test_bancor_v2_pool"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
-   "outputs": [],
-   "source": [
-    "bancor_v2_pool = BancorV2Pool()\n",
-    "bancor_v2_pool.update_from_event(setup_data['bancor_v2_event'], {'cid': '0x', 'fee': '0.000', 'fee_float': 0.0, 'exchange_name': 'bancor_v2'})\n",
-    "assert (bancor_v2_pool.state['tkn0_balance'] == setup_data['bancor_v2_event']['args']['_rateN'])\n",
-    "assert (bancor_v2_pool.state['tkn1_balance'] == setup_data['bancor_v2_event']['args']['_rateD'])"
-   ],
+   "id": "4dfe57c17c271eec",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2023-08-27T13:30:38.982584Z",
      "start_time": "2023-08-27T13:30:38.975758Z"
-    }
+    },
+    "collapsed": false
    },
-   "id": "4dfe57c17c271eec"
+   "outputs": [],
+   "source": [
+    "bancor_v2_pool = BancorV2Pool()\n",
+    "bancor_v2_pool.state['tkn0_address'] = '0xEeeeeEeeeEeEeeEeEeEeeEEEeeeeEeeeeeeeEEeE'\n",
+    "bancor_v2_pool.state['tkn1_address'] = '0x1F573D6Fb3F13d689FF844B4cE37794d79a7FF1C'\n",
+    "bancor_v2_pool.state['anchor']= '0xb1CD6e4153B2a390Cf00A6556b0fC1458C4A5533'\n",
+    "bancor_v2_pool.update_from_event(setup_data['bancor_v2_event'], {'cid': '0x', 'fee': '0.000', 'fee_float': 0.0, 'exchange_name': 'bancor_v2'})\n",
+    "assert (bancor_v2_pool.state['tkn0_balance'] == setup_data['bancor_v2_event']['args']['_rateN']), f\"expected {bancor_v2_pool.state['tkn0_balance']}, found {setup_data['bancor_v2_event']['args']['_rateN']}\"\n",
+    "assert (bancor_v2_pool.state['tkn1_balance'] == setup_data['bancor_v2_event']['args']['_rateD']), f\"expected {bancor_v2_pool.state['tkn1_balance']}, found {setup_data['bancor_v2_event']['args']['_rateD']}\""
+   ]
   },
   {
    "cell_type": "markdown",
@@ -195,7 +198,16 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "{'cid': '0x',\n 'fee': '0.000',\n 'fee_float': 0.0,\n 'exchange_name': 'bancor_v3',\n 'tkn0_balance': 2981332708522538339515032,\n 'tkn1_balance': 2981332708522538339515032,\n 'tkn0_symbol': 'tkn0',\n 'tkn1_symbol': 'tkn1'}"
+      "text/plain": [
+       "{'cid': '0x',\n",
+       " 'fee': '0.000',\n",
+       " 'fee_float': 0.0,\n",
+       " 'exchange_name': 'bancor_v3',\n",
+       " 'tkn0_balance': 2981332708522538339515032,\n",
+       " 'tkn1_balance': 2981332708522538339515032,\n",
+       " 'tkn0_symbol': 'tkn0',\n",
+       " 'tkn1_symbol': 'tkn1'}"
+      ]
      },
      "execution_count": 7,
      "metadata": {},
@@ -288,6 +300,22 @@
     "assert (carbon_v1_pool.state['z_1'] == 0)\n",
     "assert (carbon_v1_pool.state['A_1'] == 0)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb389643",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afb5a056",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -309,7 +337,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.10.1"
   }
  },
  "nbformat": 4,
diff --git a/resources/NBTest/NBTest_050_TestBancorV2.py b/resources/NBTest/NBTest_050_TestBancorV2.py
new file mode 100644
index 000000000..f8ec71fff
--- /dev/null
+++ b/resources/NBTest/NBTest_050_TestBancorV2.py
@@ -0,0 +1,309 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:light
+#     text_representation:
+#       extension: .py
+#       format_name: light
+#       format_version: '1.5'
+#       jupytext_version: 1.14.5
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# coding=utf-8
+"""
+This module contains the tests for the exchanges classes
+"""
+from fastlane_bot import Bot, Config
+from fastlane_bot.bot import CarbonBot
+from fastlane_bot.tools.cpc import ConstantProductCurve
+from fastlane_bot.tools.cpc import ConstantProductCurve as CPC
+from fastlane_bot.events.exchanges import UniswapV2, UniswapV3, SushiswapV2, CarbonV1, BancorV3
+from fastlane_bot.events.interface import QueryInterface
+from fastlane_bot.helpers.poolandtokens import PoolAndTokens
+from fastlane_bot.helpers import TradeInstruction, TxReceiptHandler, TxRouteHandler, TxSubmitHandler, TxHelpers, TxHelper
+from fastlane_bot.events.managers.manager import Manager
+from fastlane_bot.events.interface import QueryInterface
+from joblib import Parallel, delayed
+from fastlane_bot.tools.cpc import ConstantProductCurve as CPC, CPCContainer, T
+from dataclasses import dataclass, asdict, field
+import pytest
+import math
+import json
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(CPC))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(Bot))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(UniswapV2))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(UniswapV3))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(SushiswapV2))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(CarbonV1))
+print("{0.__name__} v{0.__VERSION__} ({0.__DATE__})".format(BancorV3))
+from fastlane_bot.testing import *
+from fastlane_bot.modes import triangle_single_bancor3
+#plt.style.use('seaborn-dark')
+plt.rcParams['figure.figsize'] = [12,6]
+from fastlane_bot import __VERSION__
+require("3.0", __VERSION__)
+
+# # BancorV2Test [NB050]
+
+# +
+C = cfg = Config.new(config=Config.CONFIG_MAINNET)
+C.DEFAULT_MIN_PROFIT_BNT = 0.02
+C.DEFAULT_MIN_PROFIT = 0.02
+cfg.DEFAULT_MIN_PROFIT_BNT = 0.02
+cfg.DEFAULT_MIN_PROFIT = 0.02
+assert (C.NETWORK == C.NETWORK_MAINNET)
+assert (C.PROVIDER == C.PROVIDER_ALCHEMY)
+setup_bot = CarbonBot(ConfigObj=C)
+pools = None
+
+with open('fastlane_bot/data/tests/latest_pool_data_testing_bancor_v2.json') as f:
+    pools = json.load(f)
+pools = [pool for pool in pools]
+pools[0]
+static_pools = pools
+state = pools
+exchanges = list({ex['exchange_name'] for ex in state})
+db = QueryInterface(state=state, ConfigObj=C, exchanges=exchanges)
+setup_bot.db = db
+
+static_pool_data_filename = "static_pool_data"
+
+static_pool_data = pd.read_csv(f"fastlane_bot/data/{static_pool_data_filename}.csv", low_memory=False)
+    
+uniswap_v2_event_mappings = pd.read_csv("fastlane_bot/data/uniswap_v2_event_mappings.csv", low_memory=False)
+        
+tokens = pd.read_csv("fastlane_bot/data/tokens.csv", low_memory=False)
+        
+exchanges = "carbon_v1,bancor_v3,uniswap_v3,uniswap_v2,sushiswap_v2"
+
+exchanges = exchanges.split(",")
+
+
+alchemy_max_block_fetch = 20
+static_pool_data["cid"] = [
+        cfg.w3.keccak(text=f"{row['descr']}").hex()
+        for index, row in static_pool_data.iterrows()
+    ]
+# Filter out pools that are not in the supported exchanges
+static_pool_data = [
+    row for index, row in static_pool_data.iterrows()
+    if row["exchange_name"] in exchanges
+]
+
+static_pool_data = pd.DataFrame(static_pool_data)
+static_pool_data['exchange_name'].unique()
+# Initialize data fetch manager
+mgr = Manager(
+    web3=cfg.w3,
+    cfg=cfg,
+    pool_data=static_pool_data.to_dict(orient="records"),
+    SUPPORTED_EXCHANGES=exchanges,
+    alchemy_max_block_fetch=alchemy_max_block_fetch,
+    uniswap_v2_event_mappings=uniswap_v2_event_mappings,
+    tokens=tokens.to_dict(orient="records"),
+)
+
+# Add initial pools for each row in the static_pool_data
+start_time = time.time()
+Parallel(n_jobs=-1, backend="threading")(
+    delayed(mgr.add_pool_to_exchange)(row) for row in mgr.pool_data
+)
+cfg.logger.info(f"Time taken to add initial pools: {time.time() - start_time}")
+
+# check if any duplicate cid's exist in the pool data
+mgr.deduplicate_pool_data()
+cids = [pool["cid"] for pool in mgr.pool_data]
+assert len(cids) == len(set(cids)), "duplicate cid's exist in the pool data"
+def init_bot(mgr: Manager) -> CarbonBot:
+    """
+    Initializes the bot.
+
+    Parameters
+    ----------
+    mgr : Manager
+        The manager object.
+
+    Returns
+    -------
+    CarbonBot
+        The bot object.
+    """
+    mgr.cfg.logger.info("Initializing the bot...")
+    bot = CarbonBot(ConfigObj=mgr.cfg)
+    bot.db = db
+    bot.db.mgr = mgr
+    assert isinstance(
+        bot.db, QueryInterface
+    ), "QueryInterface not initialized correctly"
+    return bot
+bot = init_bot(mgr)
+# add data cleanup steps from main.py
+bot.db.handle_token_key_cleanup()
+bot.db.remove_unmapped_uniswap_v2_pools()
+bot.db.remove_zero_liquidity_pools()
+bot.db.remove_unsupported_exchanges()
+tokens = bot.db.get_tokens()
+ADDRDEC = {t.key: (t.address, int(t.decimals)) for t in tokens if not math.isnan(t.decimals)}
+flashloan_tokens = bot.setup_flashloan_tokens(None)
+CCm = bot.setup_CCm(None)
+pools = db.get_pool_data_with_tokens()
+
+arb_mode = "multi"
+# -
+
+# ## Test_MIN_PROFIT
+
+assert(cfg.DEFAULT_MIN_PROFIT_BNT <= 0.02), f"[TestMultiMode], DEFAULT_MIN_PROFIT_BNT must be <= 0.02 for this Notebook to run, currently set to {cfg.DEFAULT_MIN_PROFIT_BNT}"
+assert(C.DEFAULT_MIN_PROFIT_BNT <= 0.02), f"[TestMultiMode], DEFAULT_MIN_PROFIT_BNT must be <= 0.02 for this Notebook to run, currently set to {cfg.DEFAULT_MIN_PROFIT_BNT}"
+
+# ## Test_Combos_and_Tokens
+
+arb_finder = bot._get_arb_finder("multi")
+finder2 = arb_finder(
+            flashloan_tokens=flashloan_tokens,
+            CCm=CCm,
+            mode="bothin",
+            result=bot.AO_TOKENS,
+            ConfigObj=bot.ConfigObj,
+        )
+all_tokens, combos = finder2.find_arbitrage()
+assert len(all_tokens) == 971, f"[NBTest_50_TestBancorV2] Using wrong dataset, expected 971 tokens, found {len(all_tokens)}"
+assert len(combos) == 5820, f"[NBTest_50_TestBancorV2] Using wrong dataset, expected 5820 tokens, found {len(combos)}"
+
+
+# ## Test_Expected_Output_BancorV2
+
+# +
+run_full = bot._run(flashloan_tokens=flashloan_tokens, CCm=CCm, arb_mode=arb_mode, data_validator=False, result=bot.XS_ARBOPPS)
+arb_finder = bot._get_arb_finder("multi")
+finder = arb_finder(
+            flashloan_tokens=flashloan_tokens,
+            CCm=CCm,
+            mode="bothin",
+            result=bot.AO_CANDIDATES,
+            ConfigObj=bot.ConfigObj,
+        )
+r = finder.find_arbitrage()
+arb_with_bancor_v2 = []
+
+for arb_opp in r:
+    pools = []
+    for pool in arb_opp[2]:
+        pools += [curve for curve in CCm if curve.cid == pool['cid']]
+    for pool in pools:
+        if pool.params['exchange'] == "bancor_v2":
+            arb_with_bancor_v2.append(arb_opp)
+
+# get specific arb for tests
+
+test_arb = None
+
+test_cids = ['0x297f9a0e8d3f57de8c62a8fde0ff09193b934ff0ae906085526f0b97b90e188a', '3743106036130323098097120681749450326076-0', '3743106036130323098097120681749450326076-1']
+
+for arb in arb_with_bancor_v2:
+    all_match = True
+    for pool in arb[2]:
+        if pool['cid'] not in test_cids:
+            all_match = False
+    
+    if all_match:
+        test_arb = arb
+
+(
+    best_profit,
+    best_trade_instructions_df,
+    best_trade_instructions_dic,
+    best_src_token,
+    best_trade_instructions,
+) = test_arb
+
+# Order the trade instructions
+(
+    ordered_trade_instructions_dct,
+    tx_in_count,
+) = bot._simple_ordering_by_src_token(
+    best_trade_instructions_dic, best_src_token
+)
+
+# Scale the trade instructions
+ordered_scaled_dcts = bot._basic_scaling(
+    ordered_trade_instructions_dct, best_src_token
+)
+
+# Convert the trade instructions
+ordered_trade_instructions_objects = bot._convert_trade_instructions(
+    ordered_scaled_dcts
+)
+
+# Create the tx route handler
+tx_route_handler = bot.TxRouteHandlerClass(
+    trade_instructions=ordered_trade_instructions_objects
+)
+
+# Aggregate the carbon trades
+agg_trade_instructions = (
+    tx_route_handler.aggregate_carbon_trades(ordered_trade_instructions_objects)
+    if bot._carbon_in_trade_route(ordered_trade_instructions_objects)
+    else ordered_trade_instructions_objects
+)
+
+# Calculate the trade instructions
+calculated_trade_instructions = tx_route_handler.calculate_trade_outputs(
+    agg_trade_instructions
+)
+
+# Aggregate multiple Bancor V3 trades into a single trade
+calculated_trade_instructions = tx_route_handler.aggregate_bancor_v3_trades(
+    calculated_trade_instructions
+)
+
+# Get the flashloan token
+fl_token = fl_token_with_weth = calculated_trade_instructions[0].tknin_key
+
+# If the flashloan token is WETH, then use ETH
+if fl_token == T.WETH:
+    fl_token = T.NATIVE_ETH
+
+best_profit = flashloan_tkn_profit = tx_route_handler.calculate_trade_profit(calculated_trade_instructions)
+
+# Use helper function to calculate profit
+best_profit, flt_per_bnt, profit_usd = bot.calculate_profit(
+    CCm, best_profit, fl_token, fl_token_with_weth
+)
+
+# Check if the best profit is greater than the minimum profit
+if best_profit < bot.ConfigObj.DEFAULT_MIN_PROFIT:
+    bot.ConfigObj.logger.info(
+        f"Opportunity with profit: {num_format(best_profit)} does not meet minimum profit: {self.ConfigObj.DEFAULT_MIN_PROFIT}, discarding."
+    )
+
+# Get the flashloan amount and token address
+flashloan_amount = int(calculated_trade_instructions[0].amtin_wei)
+flashloan_token_address = bot.ConfigObj.w3.toChecksumAddress(
+    bot.db.get_token(key=fl_token).address
+)
+
+# Encode the trade instructions
+encoded_trade_instructions = tx_route_handler.custom_data_encoder(
+    calculated_trade_instructions
+)
+
+# Get the deadline
+deadline = bot._get_deadline()
+
+# Get the route struct
+route_struct = [
+    asdict(rs)
+    for rs in tx_route_handler.get_route_structs(
+        encoded_trade_instructions, deadline
+    )
+]
+assert arb_finder.__name__ == "FindArbitrageMultiPairwise", f"[NBTest_50_TestBancorV2] Expected arb_finder class name name = FindArbitrageMultiPairwise, found {arb_finder.__name__}"
+assert len(r) == 31, f"[NBTest_50_TestBancorV2] Expected 31 arb opps, found {len(r)}"
+assert len(arb_with_bancor_v2) == 4, f"[NBTest_50_TestBancorV2] Expected 4 arb opps with Bancor V2 pools, found {len(arb_with_bancor_v2)}"
+assert encoded_trade_instructions[0].amtin * 10 ** 18 == flashloan_amount, f"[NBTest_50_TestBancorV2] First trade in should match flashloan amount"
+assert route_struct[0]['customAddress'] == "0xb1CD6e4153B2a390Cf00A6556b0fC1458C4A5533" or route_struct[1]['customAddress'] == "0xb1CD6e4153B2a390Cf00A6556b0fC1458C4A5533", f"[NBTest_50_TestBancorV2] customAddress for Bancor V2.1 trade must be converter token address, expected: 0xb1CD6e4153B2a390Cf00A6556b0fC1458C4A5533 for one address, found: {route_struct[0]['customAddress']} and {route_struct[1]['customAddress']}"