From 6890e8df7c03264ddf14fd6355c22a61ef363dd2 Mon Sep 17 00:00:00 2001
From: user_client2024 <nitin.jiloha@solytics-partners.com>
Date: Mon, 14 Oct 2024 05:46:27 +0000
Subject: [PATCH] System save at 14/10/2024 11:16 by user_client2024

---
 .ipynb_checkpoints/main-checkpoint.ipynb | 75 ++++++++++++++++++++++--
 main.ipynb                               | 75 ++++++++++++++++++++++--
 main.py                                  |  9 +--
 3 files changed, 143 insertions(+), 16 deletions(-)

diff --git a/.ipynb_checkpoints/main-checkpoint.ipynb b/.ipynb_checkpoints/main-checkpoint.ipynb
index f9046c2..c65c767 100644
--- a/.ipynb_checkpoints/main-checkpoint.ipynb
+++ b/.ipynb_checkpoints/main-checkpoint.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "90c70e46-71a0-44a6-8090-f53aad3193c3",
    "metadata": {
     "tags": []
@@ -64,6 +64,7 @@
     "    (buy_volume / NULLIF(total_volume, 0)) * 100 AS \"Volume (%)\"\n",
     "FROM aggregated_trades\n",
     "WHERE buy_volume > 0 OR sell_volume > 0\n",
+    "limit 1000\n",
     "\"\"\"\n",
     "\n",
     "class Scenario:\n",
@@ -116,14 +117,76 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "caee5554-5254-4388-bf24-029281d77890",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Query start time: 2024-10-14 05:44:12.616270\n",
+      "Query end time: 2024-10-14 05:44:12.873749\n"
+     ]
+    },
+    {
+     "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>START_DATE_TIME</th>\n",
+       "      <th>END_DATE_TIME</th>\n",
+       "      <th>FOCAL_ID</th>\n",
+       "      <th>MIN_PRICE</th>\n",
+       "      <th>MAX_PRICE</th>\n",
+       "      <th>PRICE_CHANGE (%)</th>\n",
+       "      <th>PARTICIPANT_VOLUME</th>\n",
+       "      <th>TOTAL_VOLUME</th>\n",
+       "      <th>VOLUME (%)</th>\n",
+       "      <th>PARTICIPANT_VOLUME_PCT</th>\n",
+       "      <th>Segment</th>\n",
+       "      <th>SAR_FLAG</th>\n",
+       "      <th>Risk</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [START_DATE_TIME, END_DATE_TIME, FOCAL_ID, MIN_PRICE, MAX_PRICE, PRICE_CHANGE (%), PARTICIPANT_VOLUME, TOTAL_VOLUME, VOLUME (%), PARTICIPANT_VOLUME_PCT, Segment, SAR_FLAG, Risk]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Instantiate and execute logic\n",
-    "#scenario = Scenario()\n",
-    "#scenario.logic(validation_window=1000)"
+    "scenario = Scenario()\n",
+    "scenario.logic(validation_window=100000)"
    ]
   },
   {
diff --git a/main.ipynb b/main.ipynb
index f9046c2..c65c767 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "90c70e46-71a0-44a6-8090-f53aad3193c3",
    "metadata": {
     "tags": []
@@ -64,6 +64,7 @@
     "    (buy_volume / NULLIF(total_volume, 0)) * 100 AS \"Volume (%)\"\n",
     "FROM aggregated_trades\n",
     "WHERE buy_volume > 0 OR sell_volume > 0\n",
+    "limit 1000\n",
     "\"\"\"\n",
     "\n",
     "class Scenario:\n",
@@ -116,14 +117,76 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "caee5554-5254-4388-bf24-029281d77890",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Query start time: 2024-10-14 05:44:12.616270\n",
+      "Query end time: 2024-10-14 05:44:12.873749\n"
+     ]
+    },
+    {
+     "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>START_DATE_TIME</th>\n",
+       "      <th>END_DATE_TIME</th>\n",
+       "      <th>FOCAL_ID</th>\n",
+       "      <th>MIN_PRICE</th>\n",
+       "      <th>MAX_PRICE</th>\n",
+       "      <th>PRICE_CHANGE (%)</th>\n",
+       "      <th>PARTICIPANT_VOLUME</th>\n",
+       "      <th>TOTAL_VOLUME</th>\n",
+       "      <th>VOLUME (%)</th>\n",
+       "      <th>PARTICIPANT_VOLUME_PCT</th>\n",
+       "      <th>Segment</th>\n",
+       "      <th>SAR_FLAG</th>\n",
+       "      <th>Risk</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [START_DATE_TIME, END_DATE_TIME, FOCAL_ID, MIN_PRICE, MAX_PRICE, PRICE_CHANGE (%), PARTICIPANT_VOLUME, TOTAL_VOLUME, VOLUME (%), PARTICIPANT_VOLUME_PCT, Segment, SAR_FLAG, Risk]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Instantiate and execute logic\n",
-    "#scenario = Scenario()\n",
-    "#scenario.logic(validation_window=1000)"
+    "scenario = Scenario()\n",
+    "scenario.logic(validation_window=100000)"
    ]
   },
   {
diff --git a/main.py b/main.py
index 3f4b66d..44b83ea 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # coding: utf-8
 
-# In[4]:
+# In[1]:
 
 
 from datetime import datetime
@@ -59,6 +59,7 @@ SELECT
     (buy_volume / NULLIF(total_volume, 0)) * 100 AS "Volume (%)"
 FROM aggregated_trades
 WHERE buy_volume > 0 OR sell_volume > 0
+limit 1000
 """
 
 class Scenario:
@@ -109,12 +110,12 @@ class Scenario:
 
 
 
-# In[5]:
+# In[3]:
 
 
 # Instantiate and execute logic
-#scenario = Scenario()
-#scenario.logic(validation_window=1000)
+scenario = Scenario()
+scenario.logic(validation_window=100000)
 
 
 # In[ ]: