{ "id": 540442, "title": "Step 1 : Literature Review : Related Papers & Tutorial Articles", "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/540442", "author_name": "AC", "post_date": "2024-10-14T15:40:46.165000", "votes": 11, "comment_count": 1, "views": 0, "content": "
    \n
  1. Jane Street Stock Prediction. Medium, 2021.
    2. \n
  2. Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs. Expert Systems with Applications, 2023.
    3. \n
  3. Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing. 2023.
    4. \n
  4. A new hybrid financial time series prediction model. Engineering Applications of Artificial Intelligence, 2020.
    5. \n
  5. Predicting the state of synchronization of financial time series using cross recurrence plots.Neural Computing and Applications, 2023.
    6. \n
  6. Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction. Mathematics 2023.
    7. \n
  7. A Labeling Method for Financial Time Series Prediction Based on Trend. Entropy (Basel), 2020.
    8. \n
  8. A Prediction Approach for Stock Market\nVolatility Based on Time Series Data. IEEE, 2019.
    9. \n
\n
\n

P.S. Add in new related papers if you find any! :)

\n
", "messages": [ { "id": 3017163, "postDate": "2024-10-14T15:40:46.167Z", "content": "
    \n
  1. Jane Street Stock Prediction. Medium, 2021.
    2. \n
  2. Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs. Expert Systems with Applications, 2023.
    3. \n
  3. Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing. 2023.
    4. \n
  4. A new hybrid financial time series prediction model. Engineering Applications of Artificial Intelligence, 2020.
    5. \n
  5. Predicting the state of synchronization of financial time series using cross recurrence plots.Neural Computing and Applications, 2023.
    6. \n
  6. Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction. Mathematics 2023.
    7. \n
  7. A Labeling Method for Financial Time Series Prediction Based on Trend. Entropy (Basel), 2020.
    8. \n
  8. A Prediction Approach for Stock Market\nVolatility Based on Time Series Data. IEEE, 2019.
    9. \n
\n
\n

P.S. Add in new related papers if you find any! :)

\n
", "rawMarkdown": "\n1. [Jane Street Stock Prediction](https://prateeknigam9.medium.com/yth-bc85b326d52f). *Medium, 2021*.\n2. [Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs](https://www.sciencedirect.com/science/article/abs/pii/S0957417423003809). *Expert Systems with Applications, 2023.*\n3. [Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing](https://arxiv.org/abs/2309.00136). *2023.*\n4. [A new hybrid financial time series prediction model](https://www.sciencedirect.com/science/article/abs/pii/S0952197620302220). *Engineering Applications of Artificial Intelligence, 2020.*\n5. [Predicting the state of synchronization of financial time series using cross recurrence plots](https://link.springer.com/article/10.1007/s00521-023-08674-y).*Neural Computing and Applications, 2023.*\n6. [Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction](https://www.mdpi.com/2227-7390/11/5/1130). *Mathematics 2023.*\n7. [A Labeling Method for Financial Time Series Prediction Based on Trend](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597331/). *Entropy (Basel), 2020.*\n8. [A Prediction Approach for Stock Market\nVolatility Based on Time Series Data](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8626097). *IEEE, 2019.*\n\n>P.S. Add in new related papers if you find any! :)\n", "votes": 11 }, { "id": 3021227, "postDate": "2024-10-18T09:28:41.063Z", "rawMarkdown": "", "votes": 1, "isDeleted": true } ], "comments": [ { "id": 3021227, "author_name": "", "author_url": "", "post_date": "2024-10-18T09:28:41.063000", "content": "", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "3017163": "\n1. [Jane Street Stock Prediction](https://prateeknigam9.medium.com/yth-bc85b326d52f). *Medium, 2021*.\n2. [Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs](https://www.sciencedirect.com/science/article/abs/pii/S0957417423003809). *Expert Systems with Applications, 2023.*\n3. [Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing](https://arxiv.org/abs/2309.00136). *2023.*\n4. [A new hybrid financial time series prediction model](https://www.sciencedirect.com/science/article/abs/pii/S0952197620302220). *Engineering Applications of Artificial Intelligence, 2020.*\n5. [Predicting the state of synchronization of financial time series using cross recurrence plots](https://link.springer.com/article/10.1007/s00521-023-08674-y).*Neural Computing and Applications, 2023.*\n6. [Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction](https://www.mdpi.com/2227-7390/11/5/1130). *Mathematics 2023.*\n7. [A Labeling Method for Financial Time Series Prediction Based on Trend](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597331/). *Entropy (Basel), 2020.*\n8. [A Prediction Approach for Stock Market\nVolatility Based on Time Series Data](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8626097). *IEEE, 2019.*\n\n>P.S. Add in new related papers if you find any! :)\n", "3021227": "" } }