Cryptsy anomalies trading bot

Project # 58428
NDA

Job Statistics

5 Bids
budget
Up to 2,500 ILS
bidding ends in
mins
bid range
180 ILS - 250 ILS / hour
2,500 ILS - 7,000 ILS / project
average bid
213 ILS / hour
4,750 ILS / project

Job Info And Actions

Posted: 06:47, 12 Jun., 2014
Ends: 06:51, 22 Jul., 2014
Cryptsy anomalies trading bot
Cryptsy anomalies trading bot
High Level:
• I don’t care in what language the bot is written in.
• The bot will connect via API to the exchange but will be written in a way that it will be easily extendable in the future to other exchanges:
o https://www.cryptsy.com
• The bot will search for anomalies in the prices of crypto-currencies against LTC and BTC and the exchange rate of LTC to BTC i.e. LTC/BTC
Algorithm:
1. The bot will go over all available currencies that can be traded VS BTC and LTC
o Examples:
 If crypto-currency A is traded against BTC i.e. A/BTC and A is traded against LTC i.e. A/LTC the bot will run the algorithm on it.
 If crypto-currency B is traded against BTC i.e. B/BTC but b is NOT traded against LTC the bot will NOT run the algorithm on it.
 If crypto-currency C is traded against LTC i.e. C/LTC but b is NOT traded against BTC the bot will NOT run the algorithm on it.
2. The bot will than calculate if (((BTC/A) * (A/LTC) * (LTC/BTC))> profitFactor) it will start sending the orders. The bot will check the best buy\sell price according to direction
3. Before sending each order the bot will make sure enough BTC funds exists per LotSize, if not, order will not get executed.
4. Send order to sell BTC buy A size LotSize. Verify order got executed.
5. Send order to sell all A we bought buy LTC. Verify order got executed.
6. Send order to sell all LTC we bought buy BTC. Verify order got executed.
Variables:
• LotSize (default = 0.001)
• profitFactor (default = 1.01)
Logging:
• The bot will log each order sent with timestamp, currency, size, and price.
Terms:
• I get source code and executable that runs on win7.
• Help in set up to get running.
• Support and bug fixes for issues found during the first month.

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