Completed

Predictive Model

1. A functioning interface allowing a user to track a product given a url, hashtag, or topic,

a. This will include graphs and analysis

2. A framework that can run the appropriate analysis on a given input,

a. Running buy/sell analysis on bitcoin (momentum analysis or moving average)

b. K-Clustering on hashtag analysis (Is this tweet similar to this other tweet)

c. Track a series of amazon products

3. A series of threaded crawlers that can crawl given data/topics and gather the necessary

data to run the necessary analysis,

4. A database to store all of this information,

5. A REST-based API that allows authenticated calls to obtain various pieces of information

6. Android app for prices:

a. Daily High/Low

b. 52 Week High/Low

c. buy/sell recommendation

d. Etc.

7. Implement the following algorithms for bitcoin price tracking to provide

further analysis:

a. RSI

b. MACD analysis

c. Accumulation/Distrubution lines

Restrictions

1. Data Limits:

a. Last year of bitcoin price

b. Last 10,000 tweets of a given hashtag

c. 15 <= x <= 30 amazon products

2. Don’t worry about the look and feel of things. We are working for functionality, not pretty

Tools Used

● Math

● JSoup

● Java-RS

● Twitter4j - Or any other alternative

● Gson

● CoinDesk API

● Deeplearning4j

● Charts4j

Skills: Android, Java, Mobile App Development, PHP

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bisaneema

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