diff --git a/README.md b/README.md
index 7f49732..70767e8 100644
--- a/README.md
+++ b/README.md
@@ -2,12 +2,22 @@
 
 Charts for sudooooo swap using ApeWorX
 
-![](notebook/assets/prices.png)
-![](notebook/assets/volumes.png)
-![](notebook/assets/avg_prices.png)
-![](notebook/assets/cum_volumes.png)
-![](notebook/assets/cum_fees.png)
+- 0xmons (pool: [0x5caf332dca4e6c9e69d52f320c21e74845353db0](https://etherscan.io/address/0x5caf332dca4e6c9e69d52f320c21e74845353db0))
 
+![](notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/prices.png)
+![](notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/volumes.png)
+![](notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/avg_prices.png)
+![](notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_volumes.png)
+![](notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_fees.png)
+
+
+- azuki (pool: [0x16F71D593bc6446a16eF84551cF8D76ff5973db1](https://etherscan.io/address/0x16F71D593bc6446a16eF84551cF8D76ff5973db1))
+
+![](notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/prices.png)
+![](notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/volumes.png)
+![](notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/avg_prices.png)
+![](notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/cum_volumes.png)
+![](notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/cum_fees.png)
 
 ## Setup
 
diff --git a/notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/avg_prices.png b/notebook/assets/0x16F71D593bc6446a16eF84551cF8D76ff5973db1/avg_prices.png
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diff --git a/notebook/assets/cum_fees.png b/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_fees.png
similarity index 100%
rename from notebook/assets/cum_fees.png
rename to notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_fees.png
diff --git a/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_volumes.png b/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/cum_volumes.png
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diff --git a/notebook/assets/total_spreads.png b/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/total_spreads.png
similarity index 100%
rename from notebook/assets/total_spreads.png
rename to notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/total_spreads.png
diff --git a/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/volumes.png b/notebook/assets/0x5caf332dca4e6c9e69d52f320c21e74845353db0/volumes.png
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deleted file mode 100644
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diff --git a/notebook/assets/prices.png b/notebook/assets/prices.png
deleted file mode 100644
index 6fb52fe..0000000
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diff --git a/notebook/assets/volumes.png b/notebook/assets/volumes.png
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index 486d4f5..0000000
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diff --git a/notebook/sudo-pool.ipynb b/notebook/sudo-pool.ipynb
index 966d51b..59569fa 100644
--- a/notebook/sudo-pool.ipynb
+++ b/notebook/sudo-pool.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 405,
+   "execution_count": 3,
    "id": "823f4029",
    "metadata": {},
    "outputs": [],
@@ -99,7 +99,7 @@
     {
      "data": {
       "text/plain": [
-       "15707244"
+       "15717821"
       ]
      },
      "execution_count": 6,
@@ -120,7 +120,11 @@
    "outputs": [],
    "source": [
     "# TODO: change to whatever pool address you want\n",
-    "pool_addr = \"0x5caf332dca4e6c9e69d52f320c21e74845353db0\"  # xmons\n",
+    "# TODO: change to deploy block for pool you want; could get from factory.NewPair events, but being lazy\n",
+    "\n",
+    "# 0xmon values\n",
+    "deploy_block = 15181476\n",
+    "pool_addr = \"0x5caf332dca4e6c9e69d52f320c21e74845353db0\"\n",
     "pool = project.LSSVMPair.at(pool_addr)"
    ]
   },
@@ -148,17 +152,6 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "108e1a47",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# TODO: change to deploy block for pool you want; could get from factory.NewPair events, but being lazy\n",
-    "deploy_block = 15181476  # xmons"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
    "id": "96f4f333",
    "metadata": {},
    "outputs": [
@@ -168,7 +161,7 @@
        "<LinearCurve 0x5B6aC51d9B1CeDE0068a1B26533CAce807f883Ee>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -181,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "42efd5ab",
    "metadata": {},
    "outputs": [
@@ -191,7 +184,7 @@
        "<ERC721 0x0427743DF720801825a5c82e0582B1E915E0F750>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -204,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "cd6b0c4f",
    "metadata": {},
    "outputs": [],
@@ -222,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "aeabb147",
    "metadata": {},
    "outputs": [
@@ -244,7 +237,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
+   "id": "6366a698",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "id": "0947716d",
    "metadata": {},
    "outputs": [
@@ -253,8 +254,8 @@
      "output_type": "stream",
      "text": [
       "INFO: Cache database has not been initialized\n",
-      "CPU times: user 36.1 s, sys: 5.78 s, total: 41.9 s\n",
-      "Wall time: 6min 1s\n"
+      "CPU times: user 47 s, sys: 7.62 s, total: 54.6 s\n",
+      "Wall time: 6min 30s\n"
      ]
     },
     {
@@ -453,7 +454,7 @@
        "9                141  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -466,7 +467,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "id": "2875c6c5",
    "metadata": {},
    "outputs": [
@@ -474,8 +475,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 37.9 s, sys: 5.86 s, total: 43.7 s\n",
-      "Wall time: 5min 55s\n"
+      "CPU times: user 42.8 s, sys: 6.6 s, total: 49.4 s\n",
+      "Wall time: 6min 9s\n"
      ]
     },
     {
@@ -674,7 +675,7 @@
        "9                 76  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -687,7 +688,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 521,
+   "execution_count": 15,
    "id": "fe4899c1",
    "metadata": {},
    "outputs": [],
@@ -698,7 +699,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 522,
+   "execution_count": 16,
    "id": "1909bd2f",
    "metadata": {},
    "outputs": [
@@ -916,7 +917,7 @@
        "[73 rows x 8 columns]"
       ]
      },
-     "execution_count": 522,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -927,7 +928,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "id": "9164c272",
    "metadata": {},
    "outputs": [
@@ -935,8 +936,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 38.7 s, sys: 5.9 s, total: 44.6 s\n",
-      "Wall time: 6min 10s\n"
+      "CPU times: user 41.3 s, sys: 6.44 s, total: 47.8 s\n",
+      "Wall time: 6min 9s\n"
      ]
     },
     {
@@ -1147,7 +1148,7 @@
        "9                128  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1160,7 +1161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "id": "2325a8bb",
    "metadata": {},
    "outputs": [],
@@ -1171,7 +1172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 523,
+   "execution_count": 19,
    "id": "0cb0c560",
    "metadata": {},
    "outputs": [
@@ -1451,7 +1452,7 @@
        "[77 rows x 11 columns]"
       ]
      },
-     "execution_count": 523,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1465,7 +1466,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "id": "e2fde5f9",
    "metadata": {},
    "outputs": [
@@ -1473,10 +1474,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 37.9 s, sys: 5.87 s, total: 43.8 s\n",
-      "Wall time: 5min 57s\n"
+      "CPU times: user 38.7 s, sys: 6.04 s, total: 44.8 s\n",
+      "Wall time: 6min 11s\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# back to attributes:\n",
+    "# get all fee updates for the pool\n",
+    "%time query_fee_updates = pool.FeeUpdate.query('*', start_block=start_block)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "86e5ba86",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "text/html": [
@@ -1519,21 +1533,21 @@
        "Index: []"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# back to attributes:\n",
-    "# get all fee updates for the pool\n",
-    "%time query_fee_updates = pool.FeeUpdate.query('*', start_block=start_block)\n",
-    "query_fee_updates[:10]  # no fee updates for xmons"
+    "if not query_fee_updates.empty:\n",
+    "    unfold(query_fee_updates)\n",
+    "\n",
+    "query_fee_updates"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "1286ca37",
    "metadata": {},
    "outputs": [
@@ -1541,10 +1555,33 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 37.4 s, sys: 5.74 s, total: 43.2 s\n",
-      "Wall time: 6min\n"
+      "CPU times: user 38.3 s, sys: 5.87 s, total: 44.2 s\n",
+      "Wall time: 5min 55s\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# get all delta updates for the pool\n",
+    "%time query_delta_updates = pool.DeltaUpdate.query('*', start_block=start_block)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "9c2cae57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not query_delta_updates.empty:\n",
+    "    unfold(query_delta_updates)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "ecd07e31",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "text/html": [
@@ -1587,20 +1624,18 @@
        "Index: []"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# get all delta updates for the pool\n",
-    "%time query_delta_updates = pool.DeltaUpdate.query('*', start_block=start_block)\n",
-    "query_delta_updates[:10]  # no delta updates for xmons"
+    "query_delta_updates"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "id": "83306941",
    "metadata": {},
    "outputs": [
@@ -1608,8 +1643,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 37.6 s, sys: 5.82 s, total: 43.4 s\n",
-      "Wall time: 6min 6s\n"
+      "CPU times: user 38 s, sys: 5.94 s, total: 43.9 s\n",
+      "Wall time: 6min 17s\n"
      ]
     },
     {
@@ -1820,7 +1855,7 @@
        "9                168  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1833,7 +1868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "id": "2387e969",
    "metadata": {},
    "outputs": [],
@@ -1844,7 +1879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 290,
+   "execution_count": 27,
    "id": "2f95a69b",
    "metadata": {},
    "outputs": [
@@ -1988,7 +2023,7 @@
        "[75 rows x 4 columns]"
       ]
      },
-     "execution_count": 290,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2003,7 +2038,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 291,
+   "execution_count": 28,
    "id": "444e3392",
    "metadata": {},
    "outputs": [],
@@ -2015,7 +2050,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "id": "bc5505a7",
    "metadata": {},
    "outputs": [],
@@ -2033,19 +2068,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 567,
-   "id": "e3c028da",
+   "execution_count": null,
+   "id": "2408f25a",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# NOTE: assumes delta, fee NEVER change\n",
-    "delta = delta_initial / 1e18\n",
-    "fee = fee_initial / 1e18"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 524,
+   "execution_count": 30,
    "id": "7b242584",
    "metadata": {},
    "outputs": [],
@@ -2059,6 +2090,11 @@
     "    final_price = y['newSpotPrice']\n",
     "    is_buy = x['to'] == pool.address # if pool is buying the NFT so user is selling (and price should go down)\n",
     "    \n",
+    "    # get the current delta\n",
+    "    qd = query_delta_updates[query_delta_updates['block_number'] <= x['block_number']]\n",
+    "    delta = qd.iloc[-1]['newDelta'] if not qd.empty else delta_initial\n",
+    "    delta /= 1e18  # normalize wrt 18 decimals\n",
+    "    \n",
     "    # if is_buy == True, pool is buying (user is selling) so final_price < initial_price\n",
     "    initial_price = final_price\n",
     "    if curve.contract_type.name == 'LinearCurve':\n",
@@ -2067,9 +2103,10 @@
     "        else:\n",
     "            initial_price -= delta\n",
     "    elif curve.contract_type.name == 'ExponentialCurve':\n",
-    "        raise Exception(\"Need to do exponential with delta updates properly!\")\n",
-    "        # TODO: delta updates w exponential so need to account for this!\n",
-    "        # TODO: initial_price /= delta\n",
+    "        if is_buy:\n",
+    "            initial_price *= delta\n",
+    "        else:\n",
+    "            initial_price /= delta\n",
     "    \n",
     "    # check whether this is the initial price seen prior to swap\n",
     "    is_initial = (len(qp[qp['transaction_hash'] == x['transaction_hash']])) == len(query_transfers_for_swaps[query_transfers_for_swaps['transaction_hash'] == x['transaction_hash']])\n",
@@ -2090,7 +2127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 525,
+   "execution_count": 31,
    "id": "56f0aa6d",
    "metadata": {},
    "outputs": [],
@@ -2104,7 +2141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 526,
+   "execution_count": 32,
    "id": "a6715c65",
    "metadata": {},
    "outputs": [],
@@ -2116,7 +2153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 527,
+   "execution_count": 33,
    "id": "f4f66715",
    "metadata": {},
    "outputs": [
@@ -2284,7 +2321,7 @@
        "[152 rows x 6 columns]"
       ]
      },
-     "execution_count": 527,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2295,13 +2332,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 528,
+   "execution_count": 34,
    "id": "3684921b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2312,8 +2349,8 @@
    ],
    "source": [
     "# plot historical prices\n",
-    "ax = qp.plot(x='block_number', y='newSpotPrice', label='0xmons price (ETH)')\n",
-    "ax.get_figure().savefig('notebook/assets/prices.png')"
+    "ax = qp.plot(x='block_number', y='newSpotPrice', label='price (ETH)')\n",
+    "ax.get_figure().savefig(f'notebook/assets/{pool_addr}/prices.png')"
    ]
   },
   {
@@ -2326,7 +2363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 529,
+   "execution_count": 35,
    "id": "5f8ff9e6",
    "metadata": {},
    "outputs": [],
@@ -2350,7 +2387,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 530,
+   "execution_count": 36,
    "id": "da7141af",
    "metadata": {},
    "outputs": [],
@@ -2362,13 +2399,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 531,
+   "execution_count": 37,
    "id": "b2c51743",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2380,13 +2417,13 @@
    "source": [
     "# plot historical cumulative volumes (in # NFTs)\n",
     "# NOTE: these are the \"count\" fields in pool-analysis.js\n",
-    "ax = query_swaps.plot(x='block_number', y=['cum_count_buy', 'cum_count_sell'], label=['0xmons buy count (cumulative)', '0xmons sell count (cumulative)'])\n",
-    "ax.get_figure().savefig('notebook/assets/cum_counts.png')"
+    "ax = query_swaps.plot(x='block_number', y=['cum_count_buy', 'cum_count_sell'], label=['buy count (cumulative)', 'sell count (cumulative)'])\n",
+    "ax.get_figure().savefig(f'notebook/assets/{pool_addr}/cum_counts.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 491,
+   "execution_count": 38,
    "id": "4aecaf79",
    "metadata": {},
    "outputs": [],
@@ -2399,7 +2436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 532,
+   "execution_count": 39,
    "id": "ed0b846c",
    "metadata": {},
    "outputs": [],
@@ -2413,7 +2450,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 535,
+   "execution_count": 40,
    "id": "a5cd5bf3",
    "metadata": {},
    "outputs": [],
@@ -2424,7 +2461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 536,
+   "execution_count": 41,
    "id": "50149466",
    "metadata": {},
    "outputs": [
@@ -2591,7 +2628,7 @@
        "[74 rows x 4 columns]"
       ]
      },
-     "execution_count": 536,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2602,15 +2639,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 537,
+   "execution_count": 42,
    "id": "bcce3c4f",
    "metadata": {},
    "outputs": [],
    "source": [
     "# determine NFT volumes (in ETH) over time through qv\n",
-    "def get_nft_volume(x: pd.Series, buy: bool) -> int:\n",
+    "def get_nft_volume(x: pd.Series, buy: bool) -> float:\n",
     "    \"\"\"\n",
-    "    Takes in row from query_swaps and returns nft count (buy, sell) from viewpoint of pool.\n",
+    "    Takes in row from query_swaps and returns nft volume (buy, sell) from viewpoint of pool.\n",
     "    So SwapNFTInPair is a buy for the pool and SwapNFTOutPair is a sell.\n",
     "    \"\"\"\n",
     "    if (x['event_name'] == 'SwapNFTInPair' and not buy) or (x['event_name'] == 'SwapNFTOutPair' and buy):\n",
@@ -2627,7 +2664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 538,
+   "execution_count": 43,
    "id": "aaddee41",
    "metadata": {},
    "outputs": [],
@@ -2639,7 +2676,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 539,
+   "execution_count": 44,
    "id": "19e554a7",
    "metadata": {},
    "outputs": [
@@ -2966,7 +3003,7 @@
        "[73 rows x 16 columns]"
       ]
      },
-     "execution_count": 539,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2977,13 +3014,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 540,
+   "execution_count": 45,
    "id": "c06efead",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2995,19 +3032,19 @@
    "source": [
     "# plot historical cumulative volumes (in ETH)\n",
     "# NOTE: these are the \"amount\" fields in pool-analysis.js\n",
-    "ax = query_swaps.plot(x='block_number', y=['cum_volume_buy', 'cum_volume_sell'], label=['0xmons buy volume (ETH; cumulative)', '0xmons sell volume (ETH; cumulative)'])\n",
-    "ax.get_figure().savefig('notebook/assets/cum_volumes.png')"
+    "ax = query_swaps.plot(x='block_number', y=['cum_volume_buy', 'cum_volume_sell'], label=['buy volume (ETH; cumulative)', 'sell volume (ETH; cumulative)'])\n",
+    "ax.get_figure().savefig(f'notebook/assets/{pool_addr}/cum_volumes.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 541,
+   "execution_count": 46,
    "id": "5cd62364",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -3019,14 +3056,14 @@
    "source": [
     "# plot volumes and counts (not cumulative)\n",
     "fig, ax = plt.subplots(2, 1)\n",
-    "query_swaps.plot(x='block_number', y=['volume_buy'], ax=ax[0], kind='bar', color='C0', label=['0xmons buy volume (ETH)'])\n",
-    "query_swaps.plot(x='block_number', y=['volume_sell'], ax=ax[1], kind='bar', color='C1', label=['0xmons sell volume (ETH)'])\n",
-    "fig.savefig('notebook/assets/volumes.png')"
+    "query_swaps.plot(x='block_number', y=['volume_buy'], ax=ax[0], kind='bar', color='C0', label=['buy volume (ETH)'])\n",
+    "query_swaps.plot(x='block_number', y=['volume_sell'], ax=ax[1], kind='bar', color='C1', label=['sell volume (ETH)'])\n",
+    "fig.savefig(f'notebook/assets/{pool_addr}/volumes.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 542,
+   "execution_count": 47,
    "id": "aea7f0a6",
    "metadata": {},
    "outputs": [],
@@ -3038,7 +3075,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 543,
+   "execution_count": 48,
    "id": "e0d68a27",
    "metadata": {},
    "outputs": [
@@ -3402,7 +3439,7 @@
        "[73 rows x 18 columns]"
       ]
      },
-     "execution_count": 543,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3413,13 +3450,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 544,
+   "execution_count": 49,
    "id": "ea5e5008",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3430,39 +3467,58 @@
    ],
    "source": [
     "# plot historical average buy/sell prices (in ETH)\n",
-    "ax = query_swaps.plot(x='block_number', y=['avg_buy_price', 'avg_sell_price'], label=['0xmons avg buy price (ETH)', '0xmons avg sell price (ETH)'])\n",
-    "ax.get_figure().savefig('notebook/assets/avg_prices.png')"
+    "ax = query_swaps.plot(x='block_number', y=['avg_buy_price', 'avg_sell_price'], label=['avg buy price (ETH)', 'avg sell price (ETH)'])\n",
+    "ax.get_figure().savefig(f'notebook/assets/{pool_addr}/avg_prices.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 584,
+   "execution_count": 50,
    "id": "cd3d5a5c",
    "metadata": {},
    "outputs": [],
    "source": [
     "# calc trading fees over time. Easiest to charge on volume to determine\n",
-    "query_swaps['volume'] = query_swaps['volume_buy'] + query_swaps['volume_sell']\n",
-    "query_swaps['fees'] = query_swaps['volume'] * fee\n",
-    "query_swaps['cum_fees'] = query_swaps['fees'].cumsum()"
+    "query_swaps['volume'] = query_swaps['volume_buy'] + query_swaps['volume_sell']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 586,
-   "id": "53444d33",
+   "execution_count": 51,
+   "id": "2128adac",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# calc scaling factor and spread earned\n",
-    "query_swaps['scaling_factor'] = np.minimum(query_swaps['cum_count_buy'], query_swaps['cum_count_sell'])\n",
-    "query_swaps['spread'] = query_swaps['scaling_factor'] * (query_swaps['avg_sell_price'] - query_swaps['avg_buy_price'])"
+    "def get_fees(x: pd.Series) -> float:\n",
+    "    \"\"\"\n",
+    "    Takes in row from query_swaps and returns fees from swap volume.\n",
+    "    \"\"\"\n",
+    "    # get the current fee rate\n",
+    "    qf = query_fee_updates[query_fee_updates['block_number'] <= x['block_number']]\n",
+    "    fee = qf.iloc[-1]['newFee'] if not qf.empty else fee_initial\n",
+    "    fee /= 1e18  # normalize wrt 18 decimals\n",
+    "    \n",
+    "    fees = x['volume'] * fee\n",
+    "    return fees\n",
+    "\n",
+    "query_swaps['fees'] = query_swaps.apply(get_fees, axis=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 587,
-   "id": "7f0bc6d7",
+   "execution_count": 52,
+   "id": "2bfaa74c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get the cumulative fees\n",
+    "query_swaps['cum_fees'] = query_swaps['fees'].cumsum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "1e61ab76",
    "metadata": {},
    "outputs": [
     {
@@ -3497,13 +3553,13 @@
        "      <th>count_buy</th>\n",
        "      <th>count_sell</th>\n",
        "      <th>...</th>\n",
+       "      <th>cum_count_sell</th>\n",
+       "      <th>volume_buy</th>\n",
        "      <th>volume_sell</th>\n",
        "      <th>cum_volume_buy</th>\n",
        "      <th>cum_volume_sell</th>\n",
        "      <th>avg_buy_price</th>\n",
        "      <th>avg_sell_price</th>\n",
-       "      <th>scaling_factor</th>\n",
-       "      <th>spread</th>\n",
        "      <th>volume</th>\n",
        "      <th>fees</th>\n",
        "      <th>cum_fees</th>\n",
@@ -3523,13 +3579,13 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9.077670</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>0.226942</td>\n",
        "      <td>0.226942</td>\n",
@@ -3547,13 +3603,13 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>11.577670</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>11.577670</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>11.577670</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.500000</td>\n",
        "      <td>11.577670</td>\n",
        "      <td>0.289442</td>\n",
        "      <td>0.516383</td>\n",
@@ -3571,13 +3627,13 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>14.077670</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>25.655340</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>12.827670</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.750000</td>\n",
        "      <td>14.077670</td>\n",
        "      <td>0.351942</td>\n",
        "      <td>0.868325</td>\n",
@@ -3595,13 +3651,13 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>11.577670</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>20.655340</td>\n",
        "      <td>25.655340</td>\n",
        "      <td>10.327670</td>\n",
        "      <td>12.827670</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5.000000</td>\n",
        "      <td>11.577670</td>\n",
        "      <td>0.289442</td>\n",
        "      <td>1.157767</td>\n",
@@ -3619,13 +3675,13 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9.077670</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>29.733010</td>\n",
        "      <td>25.655340</td>\n",
        "      <td>9.911003</td>\n",
        "      <td>12.827670</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5.833333</td>\n",
        "      <td>9.077670</td>\n",
        "      <td>0.226942</td>\n",
        "      <td>1.384709</td>\n",
@@ -3667,13 +3723,13 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
+       "      <td>35</td>\n",
+       "      <td>7.330097</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>614.781553</td>\n",
        "      <td>666.286408</td>\n",
        "      <td>16.178462</td>\n",
        "      <td>19.036755</td>\n",
-       "      <td>35</td>\n",
-       "      <td>100.040240</td>\n",
        "      <td>7.330097</td>\n",
        "      <td>0.183252</td>\n",
        "      <td>32.026699</td>\n",
@@ -3691,13 +3747,13 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
+       "      <td>36</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>9.830097</td>\n",
        "      <td>614.781553</td>\n",
        "      <td>676.116505</td>\n",
        "      <td>16.178462</td>\n",
        "      <td>18.781014</td>\n",
-       "      <td>36</td>\n",
-       "      <td>93.691875</td>\n",
        "      <td>9.830097</td>\n",
        "      <td>0.245752</td>\n",
        "      <td>32.272451</td>\n",
@@ -3715,13 +3771,13 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
+       "      <td>36</td>\n",
+       "      <td>7.330097</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>622.111650</td>\n",
        "      <td>676.116505</td>\n",
        "      <td>15.951581</td>\n",
        "      <td>18.781014</td>\n",
-       "      <td>36</td>\n",
-       "      <td>101.859597</td>\n",
        "      <td>7.330097</td>\n",
        "      <td>0.183252</td>\n",
        "      <td>32.455704</td>\n",
@@ -3739,13 +3795,13 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
+       "      <td>37</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>9.830097</td>\n",
        "      <td>622.111650</td>\n",
        "      <td>685.946602</td>\n",
        "      <td>15.951581</td>\n",
        "      <td>18.539097</td>\n",
-       "      <td>37</td>\n",
-       "      <td>95.738113</td>\n",
        "      <td>9.830097</td>\n",
        "      <td>0.245752</td>\n",
        "      <td>32.701456</td>\n",
@@ -3763,20 +3819,20 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
+       "      <td>38</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>12.330097</td>\n",
        "      <td>622.111650</td>\n",
        "      <td>698.276699</td>\n",
        "      <td>15.951581</td>\n",
        "      <td>18.375703</td>\n",
-       "      <td>38</td>\n",
-       "      <td>92.116629</td>\n",
        "      <td>12.330097</td>\n",
        "      <td>0.308252</td>\n",
        "      <td>33.009709</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>73 rows × 23 columns</p>\n",
+       "<p>73 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -3819,49 +3875,49 @@
        "33      15641940  0xf85ed36d9edc63b7dc156d4a33256e254f8e4b02498a...   \n",
        "34      15642260  0x8ea1684dbed2098241be39070285dc929673b683d27d...   \n",
        "\n",
-       "    log_index  transaction_index  count_buy  count_sell  ...  volume_sell  \\\n",
-       "0          57                 37          1           0  ...     0.000000   \n",
-       "0          82                 82          0           1  ...    11.577670   \n",
-       "1         236                138          0           1  ...    14.077670   \n",
-       "1         123                 56          1           0  ...     0.000000   \n",
-       "2          76                 59          1           0  ...     0.000000   \n",
-       "..        ...                ...        ...         ...  ...          ...   \n",
-       "36         85                 37          1           0  ...     0.000000   \n",
-       "32         74                 47          0           1  ...     9.830097   \n",
-       "37         20                 26          1           0  ...     0.000000   \n",
-       "33        159                100          0           1  ...     9.830097   \n",
-       "34        166                 91          0           1  ...    12.330097   \n",
+       "    log_index  transaction_index  count_buy  count_sell  ...  cum_count_sell  \\\n",
+       "0          57                 37          1           0  ...               0   \n",
+       "0          82                 82          0           1  ...               1   \n",
+       "1         236                138          0           1  ...               2   \n",
+       "1         123                 56          1           0  ...               2   \n",
+       "2          76                 59          1           0  ...               2   \n",
+       "..        ...                ...        ...         ...  ...             ...   \n",
+       "36         85                 37          1           0  ...              35   \n",
+       "32         74                 47          0           1  ...              36   \n",
+       "37         20                 26          1           0  ...              36   \n",
+       "33        159                100          0           1  ...              37   \n",
+       "34        166                 91          0           1  ...              38   \n",
        "\n",
-       "    cum_volume_buy  cum_volume_sell  avg_buy_price  avg_sell_price  \\\n",
-       "0         9.077670         0.000000       9.077670             NaN   \n",
-       "0         9.077670        11.577670       9.077670       11.577670   \n",
-       "1         9.077670        25.655340       9.077670       12.827670   \n",
-       "1        20.655340        25.655340      10.327670       12.827670   \n",
-       "2        29.733010        25.655340       9.911003       12.827670   \n",
-       "..             ...              ...            ...             ...   \n",
-       "36      614.781553       666.286408      16.178462       19.036755   \n",
-       "32      614.781553       676.116505      16.178462       18.781014   \n",
-       "37      622.111650       676.116505      15.951581       18.781014   \n",
-       "33      622.111650       685.946602      15.951581       18.539097   \n",
-       "34      622.111650       698.276699      15.951581       18.375703   \n",
-       "\n",
-       "    scaling_factor      spread     volume      fees   cum_fees  \n",
-       "0                0         NaN   9.077670  0.226942   0.226942  \n",
-       "0                1    2.500000  11.577670  0.289442   0.516383  \n",
-       "1                1    3.750000  14.077670  0.351942   0.868325  \n",
-       "1                2    5.000000  11.577670  0.289442   1.157767  \n",
-       "2                2    5.833333   9.077670  0.226942   1.384709  \n",
-       "..             ...         ...        ...       ...        ...  \n",
-       "36              35  100.040240   7.330097  0.183252  32.026699  \n",
-       "32              36   93.691875   9.830097  0.245752  32.272451  \n",
-       "37              36  101.859597   7.330097  0.183252  32.455704  \n",
-       "33              37   95.738113   9.830097  0.245752  32.701456  \n",
-       "34              38   92.116629  12.330097  0.308252  33.009709  \n",
+       "    volume_buy  volume_sell  cum_volume_buy  cum_volume_sell  avg_buy_price  \\\n",
+       "0     9.077670     0.000000        9.077670         0.000000       9.077670   \n",
+       "0     0.000000    11.577670        9.077670        11.577670       9.077670   \n",
+       "1     0.000000    14.077670        9.077670        25.655340       9.077670   \n",
+       "1    11.577670     0.000000       20.655340        25.655340      10.327670   \n",
+       "2     9.077670     0.000000       29.733010        25.655340       9.911003   \n",
+       "..         ...          ...             ...              ...            ...   \n",
+       "36    7.330097     0.000000      614.781553       666.286408      16.178462   \n",
+       "32    0.000000     9.830097      614.781553       676.116505      16.178462   \n",
+       "37    7.330097     0.000000      622.111650       676.116505      15.951581   \n",
+       "33    0.000000     9.830097      622.111650       685.946602      15.951581   \n",
+       "34    0.000000    12.330097      622.111650       698.276699      15.951581   \n",
        "\n",
-       "[73 rows x 23 columns]"
+       "    avg_sell_price     volume      fees   cum_fees  \n",
+       "0              NaN   9.077670  0.226942   0.226942  \n",
+       "0        11.577670  11.577670  0.289442   0.516383  \n",
+       "1        12.827670  14.077670  0.351942   0.868325  \n",
+       "1        12.827670  11.577670  0.289442   1.157767  \n",
+       "2        12.827670   9.077670  0.226942   1.384709  \n",
+       "..             ...        ...       ...        ...  \n",
+       "36       19.036755   7.330097  0.183252  32.026699  \n",
+       "32       18.781014   9.830097  0.245752  32.272451  \n",
+       "37       18.781014   7.330097  0.183252  32.455704  \n",
+       "33       18.539097   9.830097  0.245752  32.701456  \n",
+       "34       18.375703  12.330097  0.308252  33.009709  \n",
+       "\n",
+       "[73 rows x 21 columns]"
       ]
      },
-     "execution_count": 587,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3872,8 +3928,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 589,
-   "id": "e2855217",
+   "execution_count": 54,
+   "id": "671c83ff",
    "metadata": {},
    "outputs": [
     {
@@ -3888,47 +3944,468 @@
     }
    ],
    "source": [
+    "# looks consistent with delta between deploy tx w NFT + ETH sent in and current NFT + ETH amounts\n",
     "ax = query_swaps.plot(x='block_number', y='cum_fees', label='fees earned (ETH; cumulative)')\n",
-    "ax.get_figure().savefig('notebook/assets/cum_fees.png')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 571,
-   "id": "100c15f8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# TODO: fix this since spread seems off\n",
-    "ax = query_swaps.plot(x='block_number', y='spread', label='total spread earned (ETH)')\n",
-    "ax.get_figure().savefig('notebook/assets/total_spreads.png')"
+    "ax.get_figure().savefig(f'notebook/assets/{pool_addr}/cum_fees.png')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "99c2cb4e",
+   "execution_count": 55,
+   "id": "53444d33",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# TODO: fancy plots with mplfinance"
+    "# calc scaling factor and spread earned\n",
+    "query_swaps['scaling_factor'] = np.minimum(query_swaps['cum_count_buy'], query_swaps['cum_count_sell'])\n",
+    "query_swaps['spread'] = query_swaps['scaling_factor'] * (query_swaps['avg_sell_price'] - query_swaps['avg_buy_price'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "798871ea",
+   "execution_count": 56,
+   "id": "7f0bc6d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>event_name</th>\n",
+       "      <th>contract_address</th>\n",
+       "      <th>event_arguments</th>\n",
+       "      <th>transaction_hash</th>\n",
+       "      <th>block_number</th>\n",
+       "      <th>block_hash</th>\n",
+       "      <th>log_index</th>\n",
+       "      <th>transaction_index</th>\n",
+       "      <th>count_buy</th>\n",
+       "      <th>count_sell</th>\n",
+       "      <th>...</th>\n",
+       "      <th>volume_sell</th>\n",
+       "      <th>cum_volume_buy</th>\n",
+       "      <th>cum_volume_sell</th>\n",
+       "      <th>avg_buy_price</th>\n",
+       "      <th>avg_sell_price</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>fees</th>\n",
+       "      <th>cum_fees</th>\n",
+       "      <th>scaling_factor</th>\n",
+       "      <th>spread</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SwapNFTInPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x195069bfc2a5e1ee78ee3cd8114fdfce8c0d482036d3...</td>\n",
+       "      <td>15198846</td>\n",
+       "      <td>0xd3b29ce639c43280c2a194b638e07a5e1541824210aa...</td>\n",
+       "      <td>57</td>\n",
+       "      <td>37</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>0.226942</td>\n",
+       "      <td>0.226942</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SwapNFTOutPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0xe6d9db380c0b7b3d9923ac18e1a920c64a60ef0e2f2e...</td>\n",
+       "      <td>15199800</td>\n",
+       "      <td>0x420f1997f04b486a8ed114b32337abb0f8722e82ef1f...</td>\n",
+       "      <td>82</td>\n",
+       "      <td>82</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>11.577670</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>11.577670</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>11.577670</td>\n",
+       "      <td>11.577670</td>\n",
+       "      <td>0.289442</td>\n",
+       "      <td>0.516383</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SwapNFTOutPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x85212d1b00c2c505bda6b7a56d2b1f2a893646a0d55b...</td>\n",
+       "      <td>15203036</td>\n",
+       "      <td>0x0e89e72ff162aa1b1ec18cdad70825885d7c0884f425...</td>\n",
+       "      <td>236</td>\n",
+       "      <td>138</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.077670</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>25.655340</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>12.827670</td>\n",
+       "      <td>14.077670</td>\n",
+       "      <td>0.351942</td>\n",
+       "      <td>0.868325</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.750000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SwapNFTInPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x414ea41198833a399a68c9b66456047bc6dd349330d7...</td>\n",
+       "      <td>15208415</td>\n",
+       "      <td>0x36dce9b484abf8db83699dabf5d63cbca4b9f68cc7e2...</td>\n",
+       "      <td>123</td>\n",
+       "      <td>56</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>20.655340</td>\n",
+       "      <td>25.655340</td>\n",
+       "      <td>10.327670</td>\n",
+       "      <td>12.827670</td>\n",
+       "      <td>11.577670</td>\n",
+       "      <td>0.289442</td>\n",
+       "      <td>1.157767</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>SwapNFTInPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x28758b8d0ad21047a93b75089e210e0ca85f652842ef...</td>\n",
+       "      <td>15218330</td>\n",
+       "      <td>0x10112e7b56853191c7e46d36f0cca7431be567982f5c...</td>\n",
+       "      <td>76</td>\n",
+       "      <td>59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>29.733010</td>\n",
+       "      <td>25.655340</td>\n",
+       "      <td>9.911003</td>\n",
+       "      <td>12.827670</td>\n",
+       "      <td>9.077670</td>\n",
+       "      <td>0.226942</td>\n",
+       "      <td>1.384709</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5.833333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>SwapNFTInPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x0f0c92c52a66419cf127e6d95465200306c53ba0f614...</td>\n",
+       "      <td>15583837</td>\n",
+       "      <td>0xac80c3a0f4b64fbcb0512cf4bcbfc67f77cb37a6bd36...</td>\n",
+       "      <td>85</td>\n",
+       "      <td>37</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>614.781553</td>\n",
+       "      <td>666.286408</td>\n",
+       "      <td>16.178462</td>\n",
+       "      <td>19.036755</td>\n",
+       "      <td>7.330097</td>\n",
+       "      <td>0.183252</td>\n",
+       "      <td>32.026699</td>\n",
+       "      <td>35</td>\n",
+       "      <td>100.040240</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>SwapNFTOutPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0x3343670d15a90410dd5f689d9e6349e2a4343b7472e0...</td>\n",
+       "      <td>15622000</td>\n",
+       "      <td>0x76e15f58bc7e39a5e164277fa0b2bc2c6648f510adf7...</td>\n",
+       "      <td>74</td>\n",
+       "      <td>47</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.830097</td>\n",
+       "      <td>614.781553</td>\n",
+       "      <td>676.116505</td>\n",
+       "      <td>16.178462</td>\n",
+       "      <td>18.781014</td>\n",
+       "      <td>9.830097</td>\n",
+       "      <td>0.245752</td>\n",
+       "      <td>32.272451</td>\n",
+       "      <td>36</td>\n",
+       "      <td>93.691875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>SwapNFTInPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0xb11f71335fc38495ae8e9a3dac52bf8cf452f7b02c74...</td>\n",
+       "      <td>15630253</td>\n",
+       "      <td>0x9f61426c708fcd4622f26fd23b607c65a2cf08d3c4a2...</td>\n",
+       "      <td>20</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>622.111650</td>\n",
+       "      <td>676.116505</td>\n",
+       "      <td>15.951581</td>\n",
+       "      <td>18.781014</td>\n",
+       "      <td>7.330097</td>\n",
+       "      <td>0.183252</td>\n",
+       "      <td>32.455704</td>\n",
+       "      <td>36</td>\n",
+       "      <td>101.859597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>SwapNFTOutPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0xa1759dc5b910d93a3464b9814e8010bddd25dafe66d7...</td>\n",
+       "      <td>15641940</td>\n",
+       "      <td>0xf85ed36d9edc63b7dc156d4a33256e254f8e4b02498a...</td>\n",
+       "      <td>159</td>\n",
+       "      <td>100</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.830097</td>\n",
+       "      <td>622.111650</td>\n",
+       "      <td>685.946602</td>\n",
+       "      <td>15.951581</td>\n",
+       "      <td>18.539097</td>\n",
+       "      <td>9.830097</td>\n",
+       "      <td>0.245752</td>\n",
+       "      <td>32.701456</td>\n",
+       "      <td>37</td>\n",
+       "      <td>95.738113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>SwapNFTOutPair</td>\n",
+       "      <td>0x5caF332DcA4e6C9E69d52F320c21e74845353db0</td>\n",
+       "      <td>{}</td>\n",
+       "      <td>0xa29e107e4b2b8ab807c281e02b2ab8619e4bc673de26...</td>\n",
+       "      <td>15642260</td>\n",
+       "      <td>0x8ea1684dbed2098241be39070285dc929673b683d27d...</td>\n",
+       "      <td>166</td>\n",
+       "      <td>91</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>12.330097</td>\n",
+       "      <td>622.111650</td>\n",
+       "      <td>698.276699</td>\n",
+       "      <td>15.951581</td>\n",
+       "      <td>18.375703</td>\n",
+       "      <td>12.330097</td>\n",
+       "      <td>0.308252</td>\n",
+       "      <td>33.009709</td>\n",
+       "      <td>38</td>\n",
+       "      <td>92.116629</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>73 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        event_name                            contract_address  \\\n",
+       "0    SwapNFTInPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "0   SwapNFTOutPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "1   SwapNFTOutPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "1    SwapNFTInPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "2    SwapNFTInPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "..             ...                                         ...   \n",
+       "36   SwapNFTInPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "32  SwapNFTOutPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "37   SwapNFTInPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "33  SwapNFTOutPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "34  SwapNFTOutPair  0x5caF332DcA4e6C9E69d52F320c21e74845353db0   \n",
+       "\n",
+       "   event_arguments                                   transaction_hash  \\\n",
+       "0               {}  0x195069bfc2a5e1ee78ee3cd8114fdfce8c0d482036d3...   \n",
+       "0               {}  0xe6d9db380c0b7b3d9923ac18e1a920c64a60ef0e2f2e...   \n",
+       "1               {}  0x85212d1b00c2c505bda6b7a56d2b1f2a893646a0d55b...   \n",
+       "1               {}  0x414ea41198833a399a68c9b66456047bc6dd349330d7...   \n",
+       "2               {}  0x28758b8d0ad21047a93b75089e210e0ca85f652842ef...   \n",
+       "..             ...                                                ...   \n",
+       "36              {}  0x0f0c92c52a66419cf127e6d95465200306c53ba0f614...   \n",
+       "32              {}  0x3343670d15a90410dd5f689d9e6349e2a4343b7472e0...   \n",
+       "37              {}  0xb11f71335fc38495ae8e9a3dac52bf8cf452f7b02c74...   \n",
+       "33              {}  0xa1759dc5b910d93a3464b9814e8010bddd25dafe66d7...   \n",
+       "34              {}  0xa29e107e4b2b8ab807c281e02b2ab8619e4bc673de26...   \n",
+       "\n",
+       "    block_number                                         block_hash  \\\n",
+       "0       15198846  0xd3b29ce639c43280c2a194b638e07a5e1541824210aa...   \n",
+       "0       15199800  0x420f1997f04b486a8ed114b32337abb0f8722e82ef1f...   \n",
+       "1       15203036  0x0e89e72ff162aa1b1ec18cdad70825885d7c0884f425...   \n",
+       "1       15208415  0x36dce9b484abf8db83699dabf5d63cbca4b9f68cc7e2...   \n",
+       "2       15218330  0x10112e7b56853191c7e46d36f0cca7431be567982f5c...   \n",
+       "..           ...                                                ...   \n",
+       "36      15583837  0xac80c3a0f4b64fbcb0512cf4bcbfc67f77cb37a6bd36...   \n",
+       "32      15622000  0x76e15f58bc7e39a5e164277fa0b2bc2c6648f510adf7...   \n",
+       "37      15630253  0x9f61426c708fcd4622f26fd23b607c65a2cf08d3c4a2...   \n",
+       "33      15641940  0xf85ed36d9edc63b7dc156d4a33256e254f8e4b02498a...   \n",
+       "34      15642260  0x8ea1684dbed2098241be39070285dc929673b683d27d...   \n",
+       "\n",
+       "    log_index  transaction_index  count_buy  count_sell  ...  volume_sell  \\\n",
+       "0          57                 37          1           0  ...     0.000000   \n",
+       "0          82                 82          0           1  ...    11.577670   \n",
+       "1         236                138          0           1  ...    14.077670   \n",
+       "1         123                 56          1           0  ...     0.000000   \n",
+       "2          76                 59          1           0  ...     0.000000   \n",
+       "..        ...                ...        ...         ...  ...          ...   \n",
+       "36         85                 37          1           0  ...     0.000000   \n",
+       "32         74                 47          0           1  ...     9.830097   \n",
+       "37         20                 26          1           0  ...     0.000000   \n",
+       "33        159                100          0           1  ...     9.830097   \n",
+       "34        166                 91          0           1  ...    12.330097   \n",
+       "\n",
+       "    cum_volume_buy  cum_volume_sell  avg_buy_price  avg_sell_price     volume  \\\n",
+       "0         9.077670         0.000000       9.077670             NaN   9.077670   \n",
+       "0         9.077670        11.577670       9.077670       11.577670  11.577670   \n",
+       "1         9.077670        25.655340       9.077670       12.827670  14.077670   \n",
+       "1        20.655340        25.655340      10.327670       12.827670  11.577670   \n",
+       "2        29.733010        25.655340       9.911003       12.827670   9.077670   \n",
+       "..             ...              ...            ...             ...        ...   \n",
+       "36      614.781553       666.286408      16.178462       19.036755   7.330097   \n",
+       "32      614.781553       676.116505      16.178462       18.781014   9.830097   \n",
+       "37      622.111650       676.116505      15.951581       18.781014   7.330097   \n",
+       "33      622.111650       685.946602      15.951581       18.539097   9.830097   \n",
+       "34      622.111650       698.276699      15.951581       18.375703  12.330097   \n",
+       "\n",
+       "        fees   cum_fees  scaling_factor      spread  \n",
+       "0   0.226942   0.226942               0         NaN  \n",
+       "0   0.289442   0.516383               1    2.500000  \n",
+       "1   0.351942   0.868325               1    3.750000  \n",
+       "1   0.289442   1.157767               2    5.000000  \n",
+       "2   0.226942   1.384709               2    5.833333  \n",
+       "..       ...        ...             ...         ...  \n",
+       "36  0.183252  32.026699              35  100.040240  \n",
+       "32  0.245752  32.272451              36   93.691875  \n",
+       "37  0.183252  32.455704              36  101.859597  \n",
+       "33  0.245752  32.701456              37   95.738113  \n",
+       "34  0.308252  33.009709              38   92.116629  \n",
+       "\n",
+       "[73 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "query_swaps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "100c15f8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# TODO: fix spread since seems way off\n",
+    "# ax = query_swaps.plot(x='block_number', y='spread', label='total spread earned (ETH)')\n",
+    "# ax.get_figure().savefig('notebook/assets/total_spreads.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "99c2cb4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# TODO: fancy plots with mplfinance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "798871ea",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6faaa09e",
    "metadata": {},
    "outputs": [],
    "source": []