CCA-Deck-Angellist
-
Upload
aaron-zirker -
Category
Internet
-
view
119 -
download
0
description
Transcript of CCA-Deck-Angellist
Algorithmic Trading Platform for Bitcoin and Other Cryptocurrencies
The CryptocurrencyAnalytics Company
Challenges in Trading Virtual Currencies
Multiple sources of market data and news regarding virtual currencies, spread over many global exchanges and news sources makes data aggregation and analysis difficult to conduct in a timely manner.
Market volatility and risk are much higher than for most other trading venues and asset classes.
Virtual currency trading occurs 24x7x365.
News about virtual currencies move markets quickly, often too fast for a dedicated trader to analyze and react.
Our Business Model
CCA offers a multiexchange, fully automated trading platform that allows clients to take advantage of arbitrage opportunities between global virtual currency exchanges.
Our proprietary software:- Scans the most liquid virtual currency exchanges.- Analyzes historical price averages and user defined thresholds against current prices. - Instantly trades on profitable transaction opportunities as they appear.
Automatic analysis and execution of highly profitable Bitcoin and Litecoin trades minimizes the risk of missing market moving news or prices changes.
Our Business ModelHigh frequency arbitrage based upon momentum analysis (price/volume/velocity) and arbitrage analysis.
Technical indicators include:- Exponential moving average indicators, Ichimoku cloud indicators, price/volume indicators.
Account control at virtual currency exchanges remains in the hands of the client.
Current available exchanges:- BitStamp Kraken- BTCe BitFinex itBit
Our Advantages
Trading bot and database are coded to allow rapid scaling as volumes grow, as well as flexibility in developing new thresholds and strategies.
CCA offers some of the lowest fees in the marketplace; currently 20% of net profits with no upfront commitment.
CCA’s proprietary trading algorithms leverage multiple technical indicators to rapidly monitor market movements and execute Bitcoin and Litecoin trade pairs.
CCA Technology
Our trading code is implemented in Python with a PostgreSQL database, which allows for flexibility and speed of development and deployment.
CCA private servers securely house all client data, and maintain full control over automated trades.
Modular framework that allows us to quickly and easily deploy for new exchanges, new currencies and new strategies.
Django frontend; this Python web framework allows for rapid development and integration with our trading engine.
CCA Technology
Our servers interact with exchanges with a latency of 5 – 30 milliseconds and 0.51 second for price analysis and execution trigger, some of the fastest times available in the marketplace
Clients will be able to log into cryptocurrencyanalytics.com over an SSLencrypted connection, set thresholds for the automatic trades, view market data and market news and queue trades directly.
Servers are also coded to receive news feeds from relevant sources (directly from an exchange press release, Reuters article, Coindesk article, machine readable news feeds, etc.). Future enhancement will allow for autotrading and execution against news information.
Marketing and Sales
Current marketing and sales are through website visits, as well as interaction with relevant industry conferences and finance/social media outlets.
Direct sales to accredited and institutional investors to be conducted by management team through 2014.
Executive team currently conducting multiple interviews and panel discussions to generate awareness.
Upcoming press releases and subject matter expert contributions (articles, commentary) are scheduled for Q2Q3 2014.
Competition
Few competitors exist that offer fully automated global exchange monitoring and trading on behalf of clients.
Several open source projects exist, however these lack precision, market expertise and monitoring capabilities of CCA.
Automatic trading functions have no competition that we are aware of in a formal company; many open source projects exist and many independent traders may use tools such as this to trade the market.- Cryptotrader.org Haasbot.com- BTCRobot.com Butterbot.com
These independent trade programs suffer from credibility, reliability and reputational issues.
Management Team
Aaron Zirker CHIEF EXECUTIVE OFFICER
B.A. in Biology from NYU, worked at the Wiell Cornell graduate school of medicine; successful Bitcoin trader who has over a year and a half profitably trading for his own accounts.
Ron QuarantaCHIEF OPERATING OFFICER
25 year career in financial services and technology industries; former CEO of DerivaTrust Technologies Inc.; previous roles include Global Head of Trading and Analytics; prior roles with global broker dealers and financial technology vendors.
Future RoadmapCoverage of 90% of the wholesale market in BTC and LTC
Custom, clientdefined strategies, as well as addition of new momentum indicators and arbitrage models.
Addition of new virtual currencies, including Nxt, Peercoin, any with large trading volume.
Trading from market news; machine readable news in CCA processors to allow for rapid trading based upon market moving news alerts. (Natural language processing)
SSLencrypted user interface; clients to set thresholds for auto trader bots, view market data and news.(Due midAugust)
Market analytics for client research and trading strategy formation.
Key Stats and Projections
41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 41791.0 41821.0 41852.0 41883.0 41913.0 41944.0 41974.0 42005.00
10
20
30
40
50
60
NUMBER OF CLIENTS NOVEMBER 2013 – JULY 2014PROJECTIONS THROUGH 2015
Key Stats and Projections
41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 41791.0 41821.0 41852.0 41883.0 41913.0 41944.0 41974.0 42005.00
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
500,000
ASSETS UNDER MANAGEMENT NOVEMBER 2013 – JULY 2014PROJECTIONS THROUGH 2015
Key Stats and Projections
41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 41791.0 41821.0 41852.0 41883.0 41913.0 41944.0 41974.0 42005.00
1
2
3
4
5
6
7
8
9
RETURN IN PERCENT ON USD TRADED PER MONTHPROJECTIONS THROUGH 2015
Key Stats and Projections
41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 41791.0 41821.0 41852.0 41883.0 41913.0 41944.0 41974.0 42005.00.00
10.00
20.00
30.00
40.00
50.00
60.00
RETURN IN PERCENT ON USD (CUMULATIVE)PROJECTIONS THROUGH 2015
Key Stats and Projections
0
1000
2000
3000
4000
5000
6000
7000
WEBSITE PAGE VIEWScumulative page views daily page views