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Commit
708f2da
·
1 Parent(s): a042cec

updating daily data

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Files changed (3) hide show
  1. app.py +5 -1
  2. notebooks/daily_data.ipynb +967 -41
  3. scripts/metrics.py +8 -5
app.py CHANGED
@@ -126,7 +126,11 @@ demo = gr.Blocks()
126
  weekly_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
127
  trader_agents_data
128
  )
129
-
 
 
 
 
130
  weekly_agent_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
131
  trader_agents_data, trader_filter="agent"
132
  )
 
126
  weekly_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
127
  trader_agents_data
128
  )
129
+ print(
130
+ weekly_metrics_by_market_creator.loc[
131
+ weekly_metrics_by_market_creator["market_creator"] == "all"
132
+ ].roi_diff_perc.describe()
133
+ )
134
  weekly_agent_metrics_by_market_creator = compute_weekly_metrics_by_market_creator(
135
  trader_agents_data, trader_filter="agent"
136
  )
notebooks/daily_data.ipynb CHANGED
@@ -2,7 +2,7 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 2,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -11,7 +11,7 @@
11
  },
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  {
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  "cell_type": "code",
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- "execution_count": 2,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -20,16 +20,426 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 3,
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  "metadata": {},
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  "outputs": [
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  {
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  "data": {
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  "text/plain": [
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- "Timestamp('2024-11-23 01:38:25+0000', tz='UTC')"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  ]
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  },
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- "execution_count": 3,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -40,16 +450,16 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 4,
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  "metadata": {},
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  "outputs": [
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  {
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  "data": {
48
  "text/plain": [
49
- "Timestamp('2024-09-22 00:02:05+0000', tz='UTC')"
50
  ]
51
  },
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- "execution_count": 4,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -214,7 +624,7 @@
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  },
215
  {
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  "cell_type": "code",
217
- "execution_count": 3,
218
  "metadata": {},
219
  "outputs": [],
220
  "source": [
@@ -223,7 +633,7 @@
223
  },
224
  {
225
  "cell_type": "code",
226
- "execution_count": 4,
227
  "metadata": {},
228
  "outputs": [
229
  {
@@ -231,31 +641,31 @@
231
  "output_type": "stream",
232
  "text": [
233
  "<class 'pandas.core.frame.DataFrame'>\n",
234
- "RangeIndex: 9841 entries, 0 to 9840\n",
235
  "Data columns (total 21 columns):\n",
236
  " # Column Non-Null Count Dtype \n",
237
  "--- ------ -------------- ----- \n",
238
- " 0 trader_address 9841 non-null object \n",
239
- " 1 market_creator 9841 non-null object \n",
240
- " 2 trade_id 9841 non-null object \n",
241
- " 3 creation_timestamp 9841 non-null datetime64[ns, UTC]\n",
242
- " 4 title 9841 non-null object \n",
243
- " 5 market_status 9841 non-null object \n",
244
- " 6 collateral_amount 9841 non-null float64 \n",
245
- " 7 outcome_index 9841 non-null object \n",
246
- " 8 trade_fee_amount 9841 non-null float64 \n",
247
- " 9 outcomes_tokens_traded 9841 non-null float64 \n",
248
- " 10 current_answer 1080 non-null float64 \n",
249
- " 11 is_invalid 9841 non-null bool \n",
250
- " 12 winning_trade 1080 non-null object \n",
251
- " 13 earnings 9841 non-null float64 \n",
252
- " 14 redeemed 9841 non-null bool \n",
253
- " 15 redeemed_amount 9841 non-null int64 \n",
254
- " 16 num_mech_calls 9841 non-null int64 \n",
255
- " 17 mech_fee_amount 9841 non-null float64 \n",
256
- " 18 net_earnings 9841 non-null float64 \n",
257
- " 19 roi 9841 non-null float64 \n",
258
- " 20 staking 9841 non-null object \n",
259
  "dtypes: bool(2), datetime64[ns, UTC](1), float64(8), int64(2), object(8)\n",
260
  "memory usage: 1.4+ MB\n"
261
  ]
@@ -293,16 +703,16 @@
293
  },
294
  {
295
  "cell_type": "code",
296
- "execution_count": 5,
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  "metadata": {},
298
  "outputs": [
299
  {
300
  "data": {
301
  "text/plain": [
302
- "Timestamp('2024-11-28 13:48:40+0000', tz='UTC')"
303
  ]
304
  },
305
- "execution_count": 5,
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  "metadata": {},
307
  "output_type": "execute_result"
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  }
@@ -313,21 +723,21 @@
313
  },
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  {
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  "cell_type": "code",
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- "execution_count": 5,
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  "metadata": {},
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  "outputs": [
319
  {
320
  "data": {
321
  "text/plain": [
322
  "staking\n",
323
- "non_agent 2376\n",
324
- "quickstart 672\n",
325
- "pearl 502\n",
326
- "non_staking 332\n",
327
  "Name: count, dtype: int64"
328
  ]
329
  },
330
- "execution_count": 5,
331
  "metadata": {},
332
  "output_type": "execute_result"
333
  }
@@ -336,6 +746,522 @@
336
  "all_trades_before.staking.value_counts()"
337
  ]
338
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
339
  {
340
  "cell_type": "code",
341
  "execution_count": 7,
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 23,
6
  "metadata": {},
7
  "outputs": [],
8
  "source": [
 
11
  },
12
  {
13
  "cell_type": "code",
14
+ "execution_count": 24,
15
  "metadata": {},
16
  "outputs": [],
17
  "source": [
 
20
  },
21
  {
22
  "cell_type": "code",
23
+ "execution_count": 15,
24
  "metadata": {},
25
  "outputs": [
26
  {
27
  "data": {
28
  "text/plain": [
29
+ "Index(['trader_address', 'market_creator', 'trade_id', 'creation_timestamp',\n",
30
+ " 'title', 'market_status', 'collateral_amount', 'outcome_index',\n",
31
+ " 'trade_fee_amount', 'outcomes_tokens_traded', 'current_answer',\n",
32
+ " 'is_invalid', 'winning_trade', 'earnings', 'redeemed',\n",
33
+ " 'redeemed_amount', 'num_mech_calls', 'mech_fee_amount', 'net_earnings',\n",
34
+ " 'roi', 'staking', 'nr_mech_calls'],\n",
35
+ " dtype='object')"
36
+ ]
37
+ },
38
+ "execution_count": 15,
39
+ "metadata": {},
40
+ "output_type": "execute_result"
41
+ }
42
+ ],
43
+ "source": [
44
+ "all_trades.columns"
45
+ ]
46
+ },
47
+ {
48
+ "cell_type": "code",
49
+ "execution_count": 32,
50
+ "metadata": {},
51
+ "outputs": [
52
+ {
53
+ "data": {
54
+ "text/html": [
55
+ "<div>\n",
56
+ "<style scoped>\n",
57
+ " .dataframe tbody tr th:only-of-type {\n",
58
+ " vertical-align: middle;\n",
59
+ " }\n",
60
+ "\n",
61
+ " .dataframe tbody tr th {\n",
62
+ " vertical-align: top;\n",
63
+ " }\n",
64
+ "\n",
65
+ " .dataframe thead th {\n",
66
+ " text-align: right;\n",
67
+ " }\n",
68
+ "</style>\n",
69
+ "<table border=\"1\" class=\"dataframe\">\n",
70
+ " <thead>\n",
71
+ " <tr style=\"text-align: right;\">\n",
72
+ " <th></th>\n",
73
+ " <th>trader_address</th>\n",
74
+ " <th>market_creator</th>\n",
75
+ " <th>trade_id</th>\n",
76
+ " <th>creation_timestamp</th>\n",
77
+ " <th>title</th>\n",
78
+ " <th>market_status</th>\n",
79
+ " <th>collateral_amount</th>\n",
80
+ " <th>outcome_index</th>\n",
81
+ " <th>trade_fee_amount</th>\n",
82
+ " <th>outcomes_tokens_traded</th>\n",
83
+ " <th>...</th>\n",
84
+ " <th>winning_trade</th>\n",
85
+ " <th>earnings</th>\n",
86
+ " <th>redeemed</th>\n",
87
+ " <th>redeemed_amount</th>\n",
88
+ " <th>num_mech_calls</th>\n",
89
+ " <th>mech_fee_amount</th>\n",
90
+ " <th>net_earnings</th>\n",
91
+ " <th>roi</th>\n",
92
+ " <th>staking</th>\n",
93
+ " <th>nr_mech_calls</th>\n",
94
+ " </tr>\n",
95
+ " </thead>\n",
96
+ " <tbody>\n",
97
+ " <tr>\n",
98
+ " <th>0</th>\n",
99
+ " <td>0x01274796ce41aa8e8312e05a427ffb4b0d2148f6</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x007068173910cf8719b6f2e66a18b6825c9dde820x01...</td>\n",
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+ " <td>2024-10-10 21:43:25+00:00</td>\n",
103
+ " <td>Will the emergency public warning tests planne...</td>\n",
104
+ " <td>CLOSED</td>\n",
105
+ " <td>0.930597</td>\n",
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+ " <td>0</td>\n",
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+ " <td>0.009306</td>\n",
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+ " <td>1.574258</td>\n",
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+ " <td>...</td>\n",
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+ " <td>True</td>\n",
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+ " <td>1.574258</td>\n",
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+ " <td>True</td>\n",
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+ " <td>1.574258</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.01</td>\n",
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+ " <td>0.624356</td>\n",
117
+ " <td>0.657284</td>\n",
118
+ " <td>non_staking</td>\n",
119
+ " <td>NaN</td>\n",
120
+ " </tr>\n",
121
+ " <tr>\n",
122
+ " <th>1</th>\n",
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+ " <td>0x01274796ce41aa8e8312e05a427ffb4b0d2148f6</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x00d659d7749fda4f1c9402182ca5d7ce26cf5cd10x01...</td>\n",
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+ " <td>2024-10-18 00:36:50+00:00</td>\n",
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+ " <td>Will the Northern Lights be visible over UK sk...</td>\n",
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+ " <td>CLOSED</td>\n",
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+ " <td>1.375603</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.013756</td>\n",
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+ " <td>1.942215</td>\n",
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+ " <td>...</td>\n",
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+ " <td>False</td>\n",
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+ " <td>0.000000</td>\n",
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+ " <td>False</td>\n",
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+ " <td>0.000000</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.01</td>\n",
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+ " <td>-1.399359</td>\n",
141
+ " <td>-1.000000</td>\n",
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+ " <td>non_staking</td>\n",
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+ " <td>NaN</td>\n",
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+ " </tr>\n",
145
+ " <tr>\n",
146
+ " <th>2</th>\n",
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+ " <td>0x01274796ce41aa8e8312e05a427ffb4b0d2148f6</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x02ccdf04646d9a55332e67a73e4ffdab2368d05f0x01...</td>\n",
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+ " <td>2024-10-23 22:37:35+00:00</td>\n",
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+ " <td>Will any Republican lawmakers introduce legisl...</td>\n",
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+ " <td>CLOSED</td>\n",
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+ " <td>0.471695</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.004717</td>\n",
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+ " <td>0.784784</td>\n",
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+ " <td>...</td>\n",
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+ " <td>True</td>\n",
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+ " <td>0.784784</td>\n",
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+ " <td>True</td>\n",
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+ " <td>0.784784</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.01</td>\n",
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+ " <td>0.298372</td>\n",
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+ " <td>0.613414</td>\n",
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+ " <td>non_staking</td>\n",
167
+ " <td>NaN</td>\n",
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+ " </tr>\n",
169
+ " <tr>\n",
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+ " <th>3</th>\n",
171
+ " <td>0x01274796ce41aa8e8312e05a427ffb4b0d2148f6</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x09f47ce8995abf1d5b91f2cbfa940ede2fb954c30x01...</td>\n",
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+ " <td>2024-10-20 23:58:35+00:00</td>\n",
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+ " <td>Will any new major AI-driven fraud detection t...</td>\n",
176
+ " <td>CLOSED</td>\n",
177
+ " <td>0.289046</td>\n",
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+ " <td>1</td>\n",
179
+ " <td>0.002890</td>\n",
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+ " <td>0.445590</td>\n",
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+ " <td>...</td>\n",
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+ " <td>False</td>\n",
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+ " <td>0.000000</td>\n",
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+ " <td>False</td>\n",
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+ " <td>0.000000</td>\n",
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+ " <td>5</td>\n",
187
+ " <td>0.05</td>\n",
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+ " <td>-0.341936</td>\n",
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+ " <td>-1.000000</td>\n",
190
+ " <td>non_staking</td>\n",
191
+ " <td>NaN</td>\n",
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+ " </tr>\n",
193
+ " <tr>\n",
194
+ " <th>4</th>\n",
195
+ " <td>0x01274796ce41aa8e8312e05a427ffb4b0d2148f6</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x0c86942c52740316bbdb70303c5aaee40876d8ce0x01...</td>\n",
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+ " <td>2024-10-24 22:42:00+00:00</td>\n",
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+ " <td>Will any new norovirus vaccine trial sites be ...</td>\n",
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+ " <td>CLOSED</td>\n",
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+ " <td>0.286552</td>\n",
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+ " <td>1</td>\n",
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+ " <td>0.002866</td>\n",
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+ " <td>0.470457</td>\n",
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+ " <td>...</td>\n",
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+ " <td>True</td>\n",
207
+ " <td>0.470457</td>\n",
208
+ " <td>True</td>\n",
209
+ " <td>0.470457</td>\n",
210
+ " <td>1</td>\n",
211
+ " <td>0.01</td>\n",
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+ " <td>0.171040</td>\n",
213
+ " <td>0.571242</td>\n",
214
+ " <td>non_staking</td>\n",
215
+ " <td>NaN</td>\n",
216
+ " </tr>\n",
217
+ " </tbody>\n",
218
+ "</table>\n",
219
+ "<p>5 rows × 22 columns</p>\n",
220
+ "</div>"
221
+ ],
222
+ "text/plain": [
223
+ " trader_address market_creator \\\n",
224
+ "0 0x01274796ce41aa8e8312e05a427ffb4b0d2148f6 quickstart \n",
225
+ "1 0x01274796ce41aa8e8312e05a427ffb4b0d2148f6 quickstart \n",
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+ "2 0x01274796ce41aa8e8312e05a427ffb4b0d2148f6 quickstart \n",
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+ "3 0x01274796ce41aa8e8312e05a427ffb4b0d2148f6 quickstart \n",
228
+ "4 0x01274796ce41aa8e8312e05a427ffb4b0d2148f6 quickstart \n",
229
+ "\n",
230
+ " trade_id \\\n",
231
+ "0 0x007068173910cf8719b6f2e66a18b6825c9dde820x01... \n",
232
+ "1 0x00d659d7749fda4f1c9402182ca5d7ce26cf5cd10x01... \n",
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+ "2 0x02ccdf04646d9a55332e67a73e4ffdab2368d05f0x01... \n",
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+ "3 0x09f47ce8995abf1d5b91f2cbfa940ede2fb954c30x01... \n",
235
+ "4 0x0c86942c52740316bbdb70303c5aaee40876d8ce0x01... \n",
236
+ "\n",
237
+ " creation_timestamp \\\n",
238
+ "0 2024-10-10 21:43:25+00:00 \n",
239
+ "1 2024-10-18 00:36:50+00:00 \n",
240
+ "2 2024-10-23 22:37:35+00:00 \n",
241
+ "3 2024-10-20 23:58:35+00:00 \n",
242
+ "4 2024-10-24 22:42:00+00:00 \n",
243
+ "\n",
244
+ " title market_status \\\n",
245
+ "0 Will the emergency public warning tests planne... CLOSED \n",
246
+ "1 Will the Northern Lights be visible over UK sk... CLOSED \n",
247
+ "2 Will any Republican lawmakers introduce legisl... CLOSED \n",
248
+ "3 Will any new major AI-driven fraud detection t... CLOSED \n",
249
+ "4 Will any new norovirus vaccine trial sites be ... CLOSED \n",
250
+ "\n",
251
+ " collateral_amount outcome_index trade_fee_amount outcomes_tokens_traded \\\n",
252
+ "0 0.930597 0 0.009306 1.574258 \n",
253
+ "1 1.375603 1 0.013756 1.942215 \n",
254
+ "2 0.471695 1 0.004717 0.784784 \n",
255
+ "3 0.289046 1 0.002890 0.445590 \n",
256
+ "4 0.286552 1 0.002866 0.470457 \n",
257
+ "\n",
258
+ " ... winning_trade earnings redeemed redeemed_amount num_mech_calls \\\n",
259
+ "0 ... True 1.574258 True 1.574258 1 \n",
260
+ "1 ... False 0.000000 False 0.000000 1 \n",
261
+ "2 ... True 0.784784 True 0.784784 1 \n",
262
+ "3 ... False 0.000000 False 0.000000 5 \n",
263
+ "4 ... True 0.470457 True 0.470457 1 \n",
264
+ "\n",
265
+ " mech_fee_amount net_earnings roi staking nr_mech_calls \n",
266
+ "0 0.01 0.624356 0.657284 non_staking NaN \n",
267
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+ "2 0.01 0.298372 0.613414 non_staking NaN \n",
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+ "3 0.05 -0.341936 -1.000000 non_staking NaN \n",
270
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271
+ "\n",
272
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273
  ]
274
  },
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276
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279
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280
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281
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282
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283
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284
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285
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287
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290
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295
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302
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+ "data": {
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322
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334
+ " all_trades[\"creation_timestamp\"].dt.to_period(\"W\").dt.strftime(\"%b-%d\")\n"
335
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336
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340
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341
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355
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  "output_type": "execute_result"
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  }
 
450
  },
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624
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  "--- ------ -------------- ----- \n",
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703
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723
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  "data": {
731
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741
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743
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746
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747
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748
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749
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750
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775
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968
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969
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971
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973
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976
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977
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979
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987
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988
+ " outcomes_tokens_traded ... is_invalid winning_trade earnings \\\n",
989
+ "8778 0.047923 ... False None 0.0 \n",
990
+ "8779 0.049461 ... False None 0.0 \n",
991
+ "8780 0.046737 ... False None 0.0 \n",
992
+ "8781 0.047316 ... False None 0.0 \n",
993
+ "8782 0.043896 ... False None 0.0 \n",
994
+ "\n",
995
+ " redeemed redeemed_amount num_mech_calls mech_fee_amount \\\n",
996
+ "8778 False 0 0 0.0 \n",
997
+ "8779 False 0 0 0.0 \n",
998
+ "8780 False 0 0 0.0 \n",
999
+ "8781 False 0 0 0.0 \n",
1000
+ "8782 False 0 0 0.0 \n",
1001
+ "\n",
1002
+ " net_earnings roi staking \n",
1003
+ "8778 -0.02525 -1.0 pearl \n",
1004
+ "8779 -0.02525 -1.0 pearl \n",
1005
+ "8780 -0.02525 -1.0 pearl \n",
1006
+ "8781 -0.02525 -1.0 pearl \n",
1007
+ "8782 -0.02525 -1.0 pearl \n",
1008
+ "\n",
1009
+ "[5 rows x 21 columns]"
1010
+ ]
1011
+ },
1012
+ "execution_count": 33,
1013
+ "metadata": {},
1014
+ "output_type": "execute_result"
1015
+ }
1016
+ ],
1017
+ "source": [
1018
+ "all_trades_before.loc[all_trades_before[\"staking\"]==\"pearl\"].head()"
1019
+ ]
1020
+ },
1021
+ {
1022
+ "cell_type": "code",
1023
+ "execution_count": 31,
1024
+ "metadata": {},
1025
+ "outputs": [
1026
+ {
1027
+ "data": {
1028
+ "text/html": [
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+ "<div>\n",
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+ "<style scoped>\n",
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+ " <thead>\n",
1045
+ " <tr style=\"text-align: right;\">\n",
1046
+ " <th></th>\n",
1047
+ " <th>trader_address</th>\n",
1048
+ " <th>market_creator</th>\n",
1049
+ " <th>trade_id</th>\n",
1050
+ " <th>creation_timestamp</th>\n",
1051
+ " <th>title</th>\n",
1052
+ " <th>market_status</th>\n",
1053
+ " <th>collateral_amount</th>\n",
1054
+ " <th>outcome_index</th>\n",
1055
+ " <th>trade_fee_amount</th>\n",
1056
+ " <th>outcomes_tokens_traded</th>\n",
1057
+ " <th>...</th>\n",
1058
+ " <th>is_invalid</th>\n",
1059
+ " <th>winning_trade</th>\n",
1060
+ " <th>earnings</th>\n",
1061
+ " <th>redeemed</th>\n",
1062
+ " <th>redeemed_amount</th>\n",
1063
+ " <th>num_mech_calls</th>\n",
1064
+ " <th>mech_fee_amount</th>\n",
1065
+ " <th>net_earnings</th>\n",
1066
+ " <th>roi</th>\n",
1067
+ " <th>staking</th>\n",
1068
+ " </tr>\n",
1069
+ " </thead>\n",
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+ " <tbody>\n",
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+ " <th>0</th>\n",
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+ " <td>0x027592700fafc4db3221bb662d7bdc7f546a2bb5</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x08ee7c048ea0b7e3c967a455cf7da5e38abdbaff0x02...</td>\n",
1076
+ " <td>2024-11-28 16:56:25+00:00</td>\n",
1077
+ " <td>Will any major legal precedent regarding influ...</td>\n",
1078
+ " <td>OPEN</td>\n",
1079
+ " <td>0.318926</td>\n",
1080
+ " <td>1</td>\n",
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+ " <td>0.003189</td>\n",
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1084
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+ " <td>0.0</td>\n",
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+ " <td>-0.322116</td>\n",
1092
+ " <td>-1.0</td>\n",
1093
+ " <td>non_agent</td>\n",
1094
+ " </tr>\n",
1095
+ " <tr>\n",
1096
+ " <th>1</th>\n",
1097
+ " <td>0x027592700fafc4db3221bb662d7bdc7f546a2bb5</td>\n",
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+ " <td>quickstart</td>\n",
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+ " <td>0x08ee7c048ea0b7e3c967a455cf7da5e38abdbaff0x02...</td>\n",
1100
+ " <td>2024-11-30 15:00:10+00:00</td>\n",
1101
+ " <td>Will any major legal precedent regarding influ...</td>\n",
1102
+ " <td>OPEN</td>\n",
1103
+ " <td>0.106057</td>\n",
1104
+ " <td>0</td>\n",
1105
+ " <td>0.001061</td>\n",
1106
+ " <td>0.244680</td>\n",
1107
+ " <td>...</td>\n",
1108
+ " <td>False</td>\n",
1109
+ " <td>None</td>\n",
1110
+ " <td>0.0</td>\n",
1111
+ " <td>False</td>\n",
1112
+ " <td>0</td>\n",
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+ " <td>0</td>\n",
1114
+ " <td>0.0</td>\n",
1115
+ " <td>-0.107117</td>\n",
1116
+ " <td>-1.0</td>\n",
1117
+ " <td>non_agent</td>\n",
1118
+ " </tr>\n",
1119
+ " <tr>\n",
1120
+ " <th>2</th>\n",
1121
+ " <td>0x027592700fafc4db3221bb662d7bdc7f546a2bb5</td>\n",
1122
+ " <td>quickstart</td>\n",
1123
+ " <td>0x1bdd848ae9044375c11b6ab5eddd2e4f9ff0f0aa0x02...</td>\n",
1124
+ " <td>2024-12-01 23:09:55+00:00</td>\n",
1125
+ " <td>Will any Democratic senator publicly call for ...</td>\n",
1126
+ " <td>OPEN</td>\n",
1127
+ " <td>0.152501</td>\n",
1128
+ " <td>0</td>\n",
1129
+ " <td>0.001525</td>\n",
1130
+ " <td>0.304904</td>\n",
1131
+ " <td>...</td>\n",
1132
+ " <td>False</td>\n",
1133
+ " <td>None</td>\n",
1134
+ " <td>0.0</td>\n",
1135
+ " <td>False</td>\n",
1136
+ " <td>0</td>\n",
1137
+ " <td>0</td>\n",
1138
+ " <td>0.0</td>\n",
1139
+ " <td>-0.154026</td>\n",
1140
+ " <td>-1.0</td>\n",
1141
+ " <td>non_agent</td>\n",
1142
+ " </tr>\n",
1143
+ " <tr>\n",
1144
+ " <th>3</th>\n",
1145
+ " <td>0x027592700fafc4db3221bb662d7bdc7f546a2bb5</td>\n",
1146
+ " <td>quickstart</td>\n",
1147
+ " <td>0x25408c25b8681e994e2e12c6754ddf446124cce90x02...</td>\n",
1148
+ " <td>2024-11-30 13:54:45+00:00</td>\n",
1149
+ " <td>Will any major Linux distribution announce a s...</td>\n",
1150
+ " <td>OPEN</td>\n",
1151
+ " <td>0.245306</td>\n",
1152
+ " <td>0</td>\n",
1153
+ " <td>0.002453</td>\n",
1154
+ " <td>0.507058</td>\n",
1155
+ " <td>...</td>\n",
1156
+ " <td>False</td>\n",
1157
+ " <td>None</td>\n",
1158
+ " <td>0.0</td>\n",
1159
+ " <td>False</td>\n",
1160
+ " <td>0</td>\n",
1161
+ " <td>0</td>\n",
1162
+ " <td>0.0</td>\n",
1163
+ " <td>-0.247759</td>\n",
1164
+ " <td>-1.0</td>\n",
1165
+ " <td>non_agent</td>\n",
1166
+ " </tr>\n",
1167
+ " <tr>\n",
1168
+ " <th>4</th>\n",
1169
+ " <td>0x027592700fafc4db3221bb662d7bdc7f546a2bb5</td>\n",
1170
+ " <td>quickstart</td>\n",
1171
+ " <td>0x2b5f1a0eef4c846bfddc4ae88bd1a6d02a9e703d0x02...</td>\n",
1172
+ " <td>2024-11-30 13:39:40+00:00</td>\n",
1173
+ " <td>Will any cybersecurity firm release a detailed...</td>\n",
1174
+ " <td>OPEN</td>\n",
1175
+ " <td>0.277566</td>\n",
1176
+ " <td>0</td>\n",
1177
+ " <td>0.002776</td>\n",
1178
+ " <td>0.520043</td>\n",
1179
+ " <td>...</td>\n",
1180
+ " <td>False</td>\n",
1181
+ " <td>None</td>\n",
1182
+ " <td>0.0</td>\n",
1183
+ " <td>False</td>\n",
1184
+ " <td>0</td>\n",
1185
+ " <td>0</td>\n",
1186
+ " <td>0.0</td>\n",
1187
+ " <td>-0.280342</td>\n",
1188
+ " <td>-1.0</td>\n",
1189
+ " <td>non_agent</td>\n",
1190
+ " </tr>\n",
1191
+ " </tbody>\n",
1192
+ "</table>\n",
1193
+ "<p>5 rows × 21 columns</p>\n",
1194
+ "</div>"
1195
+ ],
1196
+ "text/plain": [
1197
+ " trader_address market_creator \\\n",
1198
+ "0 0x027592700fafc4db3221bb662d7bdc7f546a2bb5 quickstart \n",
1199
+ "1 0x027592700fafc4db3221bb662d7bdc7f546a2bb5 quickstart \n",
1200
+ "2 0x027592700fafc4db3221bb662d7bdc7f546a2bb5 quickstart \n",
1201
+ "3 0x027592700fafc4db3221bb662d7bdc7f546a2bb5 quickstart \n",
1202
+ "4 0x027592700fafc4db3221bb662d7bdc7f546a2bb5 quickstart \n",
1203
+ "\n",
1204
+ " trade_id \\\n",
1205
+ "0 0x08ee7c048ea0b7e3c967a455cf7da5e38abdbaff0x02... \n",
1206
+ "1 0x08ee7c048ea0b7e3c967a455cf7da5e38abdbaff0x02... \n",
1207
+ "2 0x1bdd848ae9044375c11b6ab5eddd2e4f9ff0f0aa0x02... \n",
1208
+ "3 0x25408c25b8681e994e2e12c6754ddf446124cce90x02... \n",
1209
+ "4 0x2b5f1a0eef4c846bfddc4ae88bd1a6d02a9e703d0x02... \n",
1210
+ "\n",
1211
+ " creation_timestamp \\\n",
1212
+ "0 2024-11-28 16:56:25+00:00 \n",
1213
+ "1 2024-11-30 15:00:10+00:00 \n",
1214
+ "2 2024-12-01 23:09:55+00:00 \n",
1215
+ "3 2024-11-30 13:54:45+00:00 \n",
1216
+ "4 2024-11-30 13:39:40+00:00 \n",
1217
+ "\n",
1218
+ " title market_status \\\n",
1219
+ "0 Will any major legal precedent regarding influ... OPEN \n",
1220
+ "1 Will any major legal precedent regarding influ... OPEN \n",
1221
+ "2 Will any Democratic senator publicly call for ... OPEN \n",
1222
+ "3 Will any major Linux distribution announce a s... OPEN \n",
1223
+ "4 Will any cybersecurity firm release a detailed... OPEN \n",
1224
+ "\n",
1225
+ " collateral_amount outcome_index trade_fee_amount outcomes_tokens_traded \\\n",
1226
+ "0 0.318926 1 0.003189 0.642313 \n",
1227
+ "1 0.106057 0 0.001061 0.244680 \n",
1228
+ "2 0.152501 0 0.001525 0.304904 \n",
1229
+ "3 0.245306 0 0.002453 0.507058 \n",
1230
+ "4 0.277566 0 0.002776 0.520043 \n",
1231
+ "\n",
1232
+ " ... is_invalid winning_trade earnings redeemed redeemed_amount \\\n",
1233
+ "0 ... False None 0.0 False 0 \n",
1234
+ "1 ... False None 0.0 False 0 \n",
1235
+ "2 ... False None 0.0 False 0 \n",
1236
+ "3 ... False None 0.0 False 0 \n",
1237
+ "4 ... False None 0.0 False 0 \n",
1238
+ "\n",
1239
+ " num_mech_calls mech_fee_amount net_earnings roi staking \n",
1240
+ "0 0 0.0 -0.322116 -1.0 non_agent \n",
1241
+ "1 0 0.0 -0.107117 -1.0 non_agent \n",
1242
+ "2 0 0.0 -0.154026 -1.0 non_agent \n",
1243
+ "3 0 0.0 -0.247759 -1.0 non_agent \n",
1244
+ "4 0 0.0 -0.280342 -1.0 non_agent \n",
1245
+ "\n",
1246
+ "[5 rows x 21 columns]"
1247
+ ]
1248
+ },
1249
+ "execution_count": 31,
1250
+ "metadata": {},
1251
+ "output_type": "execute_result"
1252
+ }
1253
+ ],
1254
+ "source": [
1255
+ "all_trades_before.head()"
1256
+ ]
1257
+ },
1258
+ {
1259
+ "cell_type": "code",
1260
+ "execution_count": null,
1261
+ "metadata": {},
1262
+ "outputs": [],
1263
+ "source": []
1264
+ },
1265
  {
1266
  "cell_type": "code",
1267
  "execution_count": 7,
scripts/metrics.py CHANGED
@@ -29,7 +29,7 @@ def compute_metrics(
29
  total_nr_mech_calls_all_markets = compute_total_nr_mech_calls_per_trader(
30
  trader_data
31
  )
32
-
33
  agg_metrics["bet_amount"] = total_bet_amounts
34
  agg_metrics["nr_mech_calls"] = total_nr_mech_calls_all_markets
35
  agg_metrics["staking"] = trader_data.iloc[0].staking
@@ -39,6 +39,9 @@ def compute_metrics(
39
  total_earnings = trader_data.earnings.sum()
40
  agg_metrics["earnings"] = total_earnings
41
  total_fee_amounts = trader_data.mech_fee_amount.sum()
 
 
 
42
  total_costs = (
43
  total_bet_amounts
44
  + total_fee_amounts
@@ -46,12 +49,12 @@ def compute_metrics(
46
  )
47
  total_net_earnings = total_earnings - total_costs
48
  previous_net_earnings = trader_data.net_earnings.sum()
49
- # if previous_net_earnings > total_net_earnings:
50
- # print(
51
- # f"case for trader {trader_address} where previous net_earnings was higher {previous_net_earnings} > {total_net_earnings} "
52
- # )
53
  agg_metrics["net_earnings"] = total_net_earnings
54
  agg_metrics["roi"] = total_net_earnings / total_costs
 
 
 
 
55
  return agg_metrics
56
 
57
 
 
29
  total_nr_mech_calls_all_markets = compute_total_nr_mech_calls_per_trader(
30
  trader_data
31
  )
32
+ previous_total = trader_data.num_mech_calls.sum()
33
  agg_metrics["bet_amount"] = total_bet_amounts
34
  agg_metrics["nr_mech_calls"] = total_nr_mech_calls_all_markets
35
  agg_metrics["staking"] = trader_data.iloc[0].staking
 
39
  total_earnings = trader_data.earnings.sum()
40
  agg_metrics["earnings"] = total_earnings
41
  total_fee_amounts = trader_data.mech_fee_amount.sum()
42
+ previous_costs = (
43
+ total_bet_amounts + total_fee_amounts + previous_total * DEFAULT_MECH_FEE
44
+ )
45
  total_costs = (
46
  total_bet_amounts
47
  + total_fee_amounts
 
49
  )
50
  total_net_earnings = total_earnings - total_costs
51
  previous_net_earnings = trader_data.net_earnings.sum()
 
 
 
 
52
  agg_metrics["net_earnings"] = total_net_earnings
53
  agg_metrics["roi"] = total_net_earnings / total_costs
54
+ agg_metrics["previous_roi"] = previous_net_earnings / previous_costs
55
+ agg_metrics["roi_diff_perc"] = 100.0 * (
56
+ (agg_metrics["roi"] - agg_metrics["previous_roi"]) / abs(agg_metrics["roi"])
57
+ )
58
  return agg_metrics
59
 
60