网站综合信息 vs.org
- 标题:
- Volatility System | Commodity Futures
- 关键字:
- VS volatility system vs.org volatility trading system commodity tr
- 描述:
- Volatility system trading commodity, forex, futures, stocks based on volatility, volatility index, v
- 域名信息
- 域名年龄:24年7个月26天 注册日期:1999年09月12日 到期时间:
邮箱:david 电话:+1.6234289787
注册商:Uniregistrar Corp
- 服务器空间
- IP:198.1.74.225 同IP网站2个 详情
地址:美国
- 备案信息
- 备案号:
域名流量Alexa排名
域名注册Whois信息
vs.org
域名年龄: 24年7个月26天注册时间: 1999-09-12
注 册 商: Uniregistrar Corp
注册邮箱: david
联系电话: +1.6234289787
获取时间: 2017年01月22日 18:13:18
Domain Name: VS.ORG
Domain ID: D10077708-LROR
WHOIS Server:
Referral URL: http://uniregistrar.com
Updated Date: 2016-10-28T17:19:51Z
Creation Date: 1999-09-12T14:40:41Z
Registry Expiry Date: 2022-09-12T14:40:41Z
Sponsoring Registrar: Uniregistrar Corp
Sponsoring Registrar IANA ID: 1659
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Registrant ID: unireg8u25iz905l
Registrant Name: Name Admin
Registrant Organization: Webtrading Co.
Registrant Street: 44047 N 43 Ave #74187
Registrant Street: name-05-be-for-sale: call, email or visit AboutThisDomain.com to inquire
Registrant City: New River
Registrant State/Province: AZ
Registrant Postal Code: 85087
Registrant Country: US
Registrant Phone: +1.6234289787
Registrant Phone Ext:
Registrant Fax:
Registrant Fax Ext:
Registrant Email: david
Admin ID: unireg8u25iz905l
Admin Name: Name Admin
Admin Organization: Webtrading Co.
Admin Street: 44047 N 43 Ave #74187
Admin Street: name-05-be-for-sale: call, email or visit AboutThisDomain.com to inquire
Admin City: New River
Admin State/Province: AZ
Admin Postal Code: 85087
Admin Country: US
Admin Phone: +1.6234289787
Admin Phone Ext:
Admin Fax:
Admin Fax Ext:
Admin Email: david
Tech ID: unireg8u25iz905l
Tech Name: Name Admin
Tech Organization: Webtrading Co.
Tech Street: 44047 N 43 Ave #74187
Tech Street: name-05-be-for-sale: call, email or visit AboutThisDomain.com to inquire
Tech City: New River
Tech State/Province: AZ
Tech Postal Code: 85087
Tech Country: US
Tech Phone: +1.6234289787
Tech Phone Ext:
Tech Fax:
Tech Fax Ext:
Tech Email: david
Name Server: NS4.THISWEBSITEMAYBEFORSALE.COM
Name Server: NS3.THISWEBSITEMAYBEFORSALE.COM
Name Server: NS1.TRADER.ORG
Name Server: NS2.TRADER.ORG
DNSSEC: unsigned
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网站头文件(HTTP Header)
HTTP/1.1 200 OK 访问时间:2012年09月08日 17:32:36 服务器:Apache/2.2.20 (Unix) mod_ssl/2.2.20 OpenSSL/0.9.8m DAV/2 mod_auth_passthrough/2.1 mod_bwlimited/1.4 FrontPage/5.0.2.2635 修改日期:2012年07月21日 03:34:25 网页标记:"19f020a-5d99-4c547fbd17240" 接受单位:字节 文件大小:23961 类型:text/html 页面编码:utf-8
同IP网站(同服务器)
网站首页快照(纯文字版)
抓取时间:2015年01月19日 23:13:03
网址:http://vs.org/
标题:Volatility System | Commodity Futures Trading | Volatility T
关键字:VS, volatility system, vs.org, volatility trading system, commodity trading system, commodities, stocks, volatility trad
描述:Volatility system trading commodity, forex, futures, stocks based on volatility, volatility index, volatility based futures trading (VS)
主体:
网址:http://vs.org/
标题:Volatility System | Commodity Futures Trading | Volatility T
关键字:VS, volatility system, vs.org, volatility trading system, commodity trading system, commodities, stocks, volatility trad
描述:Volatility system trading commodity, forex, futures, stocks based on volatility, volatility index, volatility based futures trading (VS)
主体:
Welcome to VS.ORG all about Futures, Forex & Commodity Market volatility-based trading... Trading Tip-1 of the Month: WHEN THE MARKET IS BULLISH & IN AN UPTREND, AVOID BUYING WHEN VOLATILITY IS UNUSUALLY LOW SINCE IT MAY INDICATE AN UPCOMING BEAR MOVE. Trading Tip-2 of the Month: WHEN THE MARKET IS BEARISH & IN A DOWNTREND, AVOID SELLING WHEN VOLATILITY IS UNUSUALLY LOW AS IT MAY INDICATE UPCOMING BULL MOVE. To be successful, a commodity trader must grasp the basic concept of price volatility. Option values are dramatically influenced by changing levels of volatility. If volatility is low to begin with and the market begins to awaken from a slumber, you will see a small movement in the futures compounded into a disproportionately large move in the options. To get a traders perspective, historical price volatility system (VS) charts are a good place to start; but keep in mind, much like seasonals and seasonal-based trading, nothing has to happen exactly the same as it did in the past. Most financial trading software and scripts can calculate implied volatility; tracking this over time is probably the most effective way to know if you are selling hefty premiums or selling yourself too short. No matter how you follow volatility, you will eventually get a natural feel for what levels are opportune to sell, and what levels are best left to be bought. Trading Systems and System Design - Some Trading Systems are Designed to Work on Data for a Short Time Period Based On Hindsight There is a far less obvious but equally dangerous form of curve-fitting involving curve fitting of the price data to the trading system. We are referring to the increasingly popular practice of using a computer to pick out short time periods during which chosen markets have historically acted similarly. For example, we might be told that over the past ten years buying silver on May 10 and selling it on June 1 has resulted in a profit every time. The obvious inference is that if we do it this year, we have a 800 chance of winning. There are tables and tables of this meaningless coincidental data being offered to traders in books and almanacs. Seasonal Characteristics Are Highly Questionable Part of the theory is that there is some sort of very short term seasonal or cyclical basis for the similarities, although this is patently unprovable. A properly programmed PC will find literally thousands of "trades" like this over any fairly extensive set of data, just as an optimization involving a great number of variables will almost always find a great number of "profitable" combinations. Data Optimization Can Fit a System to Arrive at a False Impression of a Seasonal Characteristic The optimization fits the system to the data, and the seasonality testing fits the data to the system. Both practices result in overly curb-fitted trading results that offer no hope of success in real trading. The Trouble Is
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