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218 lines
5.8 KiB
218 lines
5.8 KiB
[
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{
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"id": "scl12_alltype_buzzvec",
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"description": "sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "scl12_alltype_sentvec",
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"description": "sentiment",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "scl12_alltype_typevec",
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"description": "instrument type index",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "scl12_buzz",
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"description": "relative sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "scl12_buzz_fast_d1",
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"description": "relative sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "scl12_buzzvec",
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"description": "sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "scl12_sentiment",
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"description": "sentiment",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "scl12_sentiment_fast_d1",
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"description": "sentiment",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "scl12_sentvec",
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"description": "sentiment",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "scl12_typevec",
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"description": "instrument type index",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "VECTOR"
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},
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{
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"id": "snt_buzz",
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"description": "negative relative sentiment volume, fill nan with 0",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_buzz_bfl",
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"description": "negative relative sentiment volume, fill nan with 1",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_buzz_bfl_fast_d1",
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"description": "negative relative sentiment volume, fill nan with 1",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_buzz_fast_d1",
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"description": "negative relative sentiment volume, fill nan with 0",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_buzz_ret",
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"description": "negative return of relative sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_buzz_ret_fast_d1",
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"description": "negative return of relative sentiment volume",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_value",
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"description": "negative sentiment, fill nan with 0",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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},
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{
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"id": "snt_value_fast_d1",
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"description": "negative sentiment, fill nan with 0",
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"dataset_id": "socialmedia12",
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"dataset_name": "Sentiment Data for Equity",
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"category_id": "socialmedia",
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"category_name": "Social Media",
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"region": "USA",
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"delay": 1,
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"universe": "TOP3000",
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"type": "MATRIX"
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}
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] |