updating notebooks

.gitignore

@@ -3,6 +3,8 @@ __pycache__/
 *.py[cod]
 *$py.class
 
+.DS_Store
+
 # C extensions
 *.so
 
@@ -157,4 +159,4 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+#.idea/

{nbs → notebooks}/weekly_analysis.ipynb

@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -60,31 +60,31 @@
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 92662 entries, 0 to 92661\n",
+      "RangeIndex: 95550 entries, 0 to 95549\n",
       "Data columns (total 19 columns):\n",
       " #   Column                  Non-Null Count  Dtype              \n",
       "---  ------                  --------------  -----              \n",
-      " 0   trader_address          92662 non-null  object             \n",
-      " 1   trade_id                92662 non-null  object             \n",
-      " 2   creation_timestamp      92662 non-null  datetime64[ns, UTC]\n",
-      " 3   title                   92662 non-null  object             \n",
-      " 4   market_status           92662 non-null  object             \n",
-      " 5   collateral_amount       92662 non-null  float64            \n",
-      " 6   outcome_index           92662 non-null  object             \n",
-      " 7   trade_fee_amount        92662 non-null  float64            \n",
-      " 8   outcomes_tokens_traded  92662 non-null  float64            \n",
-      " 9   current_answer          92662 non-null  int64              \n",
-      " 10  is_invalid              92662 non-null  bool               \n",
-      " 11  winning_trade           92662 non-null  bool               \n",
-      " 12  earnings                92662 non-null  float64            \n",
-      " 13  redeemed                92662 non-null  bool               \n",
-      " 14  redeemed_amount         92662 non-null  float64            \n",
-      " 15  num_mech_calls          92662 non-null  int64              \n",
-      " 16  mech_fee_amount         92662 non-null  float64            \n",
-      " 17  net_earnings            92662 non-null  float64            \n",
-      " 18  roi                     92662 non-null  float64            \n",
+      " 0   trader_address          95550 non-null  object             \n",
+      " 1   trade_id                95550 non-null  object             \n",
+      " 2   creation_timestamp      95550 non-null  datetime64[ns, UTC]\n",
+      " 3   title                   95550 non-null  object             \n",
+      " 4   market_status           95550 non-null  object             \n",
+      " 5   collateral_amount       95550 non-null  float64            \n",
+      " 6   outcome_index           95550 non-null  object             \n",
+      " 7   trade_fee_amount        95550 non-null  float64            \n",
+      " 8   outcomes_tokens_traded  95550 non-null  float64            \n",
+      " 9   current_answer          95550 non-null  int64              \n",
+      " 10  is_invalid              95550 non-null  bool               \n",
+      " 11  winning_trade           95550 non-null  bool               \n",
+      " 12  earnings                95550 non-null  float64            \n",
+      " 13  redeemed                95550 non-null  bool               \n",
+      " 14  redeemed_amount         95550 non-null  float64            \n",
+      " 15  num_mech_calls          95550 non-null  int64              \n",
+      " 16  mech_fee_amount         95550 non-null  float64            \n",
+      " 17  net_earnings            95550 non-null  float64            \n",
+      " 18  roi                     95550 non-null  float64            \n",
       "dtypes: bool(3), datetime64[ns, UTC](1), float64(8), int64(2), object(5)\n",
-      "memory usage: 11.6+ MB\n"
+      "memory usage: 11.9+ MB\n"
      ]
     }
    ],
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +103,7 @@
        "Timestamp('2023-07-12 15:17:25+0000', tz='UTC')"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -112,6 +112,26 @@
     "all_trades.creation_timestamp.min()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2024-05-27 02:13:05+0000', tz='UTC')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_trades.creation_timestamp.max()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
@@ -2363,7 +2383,7 @@
     "claude_prediction_online = claude_prediction_online[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "claude_prediction_online = claude_prediction_online.sort_values(by='request_month_year_week')\n",
     "\n",
-    "claude_prediction_online"
+    "claude_prediction_online.head()"
    ]
   },
   {
@@ -2494,7 +2514,7 @@
     "claude_prediction_offline = claude_prediction_offline[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "claude_prediction_offline = claude_prediction_offline.sort_values(by='request_month_year_week')\n",
     "\n",
-    "claude_prediction_offline"
+    "claude_prediction_offline.head()"
    ]
   },
   {
@@ -2737,7 +2757,7 @@
     "prediction_online = prediction_online[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "prediction_online = prediction_online.sort_values(by='request_month_year_week')\n",
     "\n",
-    "prediction_online"
+    "prediction_online.head()"
    ]
   },
   {
@@ -3368,7 +3388,7 @@
     "prediction_online_sme = prediction_online_sme[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "prediction_online_sme = prediction_online_sme.sort_values(by='request_month_year_week')\n",
     "\n",
-    "prediction_online_sme"
+    "prediction_online_sme.head()"
    ]
   },
   {
@@ -3471,7 +3491,7 @@
     "prediction_request_rag = prediction_request_rag[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "prediction_request_rag = prediction_request_rag.sort_values(by='request_month_year_week')\n",
     "\n",
-    "prediction_request_rag"
+    "prediction_request_rag.head()"
    ]
   },
   {
@@ -3739,7 +3759,7 @@
     "prediction_url_cot_claude = prediction_url_cot_claude[['request_month_year_week', 'win_perc', 'total_request']]\n",
     "prediction_url_cot_claude = prediction_url_cot_claude.sort_values(by='request_month_year_week')\n",
     "\n",
-    "prediction_url_cot_claude"
+    "prediction_url_cot_claude.head()"
    ]
   },
   {