OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING/codemeta.json at main · Amey-Thakur/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "OPTIMIZING STOCK TRADING STRATEGY WITH REINFORCEMENT LEARNING",
    "description": "Data Science Internship at Technocolabs Software. Task: To optimize stock trading strategy using Reinforcement Learning. The solution implements Q-Learning and a Streamlit-based web interface for real-time strategy visualization.",
    "identifier": "OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING",
    "license": "https://spdx.org/licenses/MIT.html",
    "programmingLanguage": [
        "Python"
    ],
    "author": [
        {
            "@type": "Person",
            "givenName": "Amey",
            "familyName": "Thakur",
            "id": "https://orcid.org/0000-0001-5644-1575"
        },
        {
            "@type": "Person",
            "givenName": "Mega",
            "familyName": "Satish",
            "id": "https://orcid.org/0000-0002-1844-9557"
        }
    ],
    "dateReleased": "2021-09-18",
    "codeRepository": "https://github.com/Amey-Thakur/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING",
    "developmentStatus": "complete",
    "applicationCategory": "Data Science / Reinforcement Learning",
    "keywords": [
        "Technocolabs Software",
        "Data Science",
        "Stock Trading",
        "Reinforcement Learning",
        "Q-Learning",
        "Python3",
        "Pandas",
        "Numpy",
        "Streamlit"
    ],
    "relatedLink": [
        "https://github.com/Amey-Thakur/OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNING"
    ]
}