Este documento describe la situación difícil que enfrentan los toreros catalanes como Jesús Fernández debido a la prohibición de los toros en Cataluña. A pesar de haber triunfado en la Monumental de Barcelona, Fernández ahora tendrá que buscar otra plaza para tomar la alternativa. La escuela taurina de Cataluña y la asociación de aficionados intentan mantener vivo el interés por los toros a pesar de la falta de apoyo. Con la prohibición, los aficionados tendrán que viajar y los toreros tendrán que desplazarse
El documento lista los requisitos para un programa, incluyendo un record de notas, carta de grado y acta de nacimiento legalizados, así como fotos y una hoja de vida. Detalla los costos de inscripción de RD$3,000, el curso propedéutico de RD$3,000, RD$1,300 por crédito y RD$2,000 para reinscripción. También proporciona los contactos del Centro Universitario Regional del Atlántico.
The Do Nation is an online platform that allows people to sponsor friends for positive environmental challenges by pledging to do green actions rather than donate money, and the founder Hermione is looking for help growing the platform, developing tools to recruit more participants for challenges, communicating the wider impacts of participants' actions beyond carbon savings, and strengthening the corporate fundraising pitch.
Este documento describe la situación difícil que enfrentan los toreros catalanes como Jesús Fernández debido a la prohibición de los toros en Cataluña. A pesar de haber triunfado en la Monumental de Barcelona, Fernández ahora tendrá que buscar otra plaza para tomar la alternativa. La escuela taurina de Cataluña y la asociación de aficionados intentan mantener vivo el interés por los toros a pesar de la falta de apoyo. Con la prohibición, los aficionados tendrán que viajar y los toreros tendrán que desplazarse
El documento lista los requisitos para un programa, incluyendo un record de notas, carta de grado y acta de nacimiento legalizados, así como fotos y una hoja de vida. Detalla los costos de inscripción de RD$3,000, el curso propedéutico de RD$3,000, RD$1,300 por crédito y RD$2,000 para reinscripción. También proporciona los contactos del Centro Universitario Regional del Atlántico.
The Do Nation is an online platform that allows people to sponsor friends for positive environmental challenges by pledging to do green actions rather than donate money, and the founder Hermione is looking for help growing the platform, developing tools to recruit more participants for challenges, communicating the wider impacts of participants' actions beyond carbon savings, and strengthening the corporate fundraising pitch.
This document summarizes the performance of the SAGE 44 trading system between December 2009 and November 2013, comprising 3 years and 47 months of trade data. Over this period, the system generated a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips from 7,866 trades. The cumulative net profit was 25,171 pips, representing an annual return on investment of 64% after 47 months of trading. Specific black box models within the SAGE 44 system achieved higher profits and returns.
The document summarizes the performance of the SAGE 44 trading strategy over 3 years from December 2009 to November 2013 comprising 1024 trade days. The strategy achieved a gross profit per trade of 6.1 pips and net profit per trade of 3.1 pips, with a profit factor of 1.39 and annual return on investment of 62% after making 7,803 trades for a cumulative net profit of 24,200 pips over 47 months of trading. Combined black boxes and single black boxes based on SAGE 44 are also summarized with similar metrics shown.
The document summarizes the performance of the SAGE 44 trading strategy between December 2009 and October 2013 over 1014 trade days. The strategy achieved a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips. Over 7725 trades, it achieved a cumulative net profit of 24,720 pips, representing an annual return on investment of 65% over 46 months of trading. Specific single and combined black box systems are also summarized, showing similar profitability metrics over the same period.
The document summarizes the performance of the SAGE 44 trading strategy between December 2009 and October 2013 over 1004 trade days. The strategy achieved a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips from 7,645 total trades, resulting in cumulative net profits of 24,464 pips. The profit factor was 1.40 and return on investment was 64% over the 46 month period. Combined and single black box performance results using the SAGE 44 strategy are also presented.
The document summarizes the performance of the SAGE 44 trading system between December 1, 2009 and September 24, 2013, comprising 994 trade days over 3 years and 45 months. Some key details include:
- Gross profit per trade of 6.5 pips and net profit per trade of 3.5 pips from 7,572 total trades, resulting in cumulative net profit of 26,502 pips. The profit factor was 1.42 and return on investment was 71% after 45 months of trading.
- A combined black box of 7 SAGE44 single boxes achieved gross profit per trade of 30.8 pips and net profit per trade of 27.8 pips from 1,032 trades,
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to September 10, 2013, consisting of 984 trade days over 3 years and 45 months. Over 7,488 trades, the system achieved a gross profit per trade of 7.0 pips and net profit per trade of 4.0 pips, for a cumulative net profit of 29,952 pips. The profit factor was 1.45 and return on investment was 80% after 45 months of trading. Performance metrics are also provided for a combined black box system and a single black box system within the SAGE 44 system.
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to August 27, 2013, consisting of 974 trade days over 3 years and 44 months. The SAGE 44 system generated a gross profit per trade of 7.0 pips and net profit per trade of 4.0 pips over 7,424 trades, resulting in cumulative net profits of 29,696 pips. The profit factor was 1.45 and return on investment was 81% after 44 months of trading. Combined black boxes and single black boxes from SAGE 44 are also summarized, showing gross and net profits per trade, number of trades, cumulative profits, profit factors, and returns on investment.
The document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to July 30, 2013 over 954 trade days. Over this period, the system generated a gross profit per trade of 7.1 pips and net profit per trade of 4.1 pips from 7,302 total trades, resulting in cumulative net profits of 29,938 pips. The profit factor was 1.46 and the annual return on investment was 84% over the 43 month period. Additional performance metrics are provided for combined and single black box systems run on SAGE 44 strategies.
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to July 16, 2013 over 944 trade days. Over this period, the system generated a gross profit per trade of 7.1 pips and net profit per trade of 4.1 pips from 7,234 total trades, resulting in cumulative net profits of 29,659 pips. The profit factor was 1.45 and return on investment was 83% over the 43 month period. Additional performance metrics are provided for combined and single black boxes used in the SAGE 44 system.
The document summarizes the performance of the SAGE 44 trading system over a period from December 2009 to June 2013, comprising 924 trading days. Some key details include:
- The average gross and net profit per trade was 7.1 pips and 4.1 pips respectively, with a total of 7,058 trades.
- The cumulative net profit over the period was 28,939 pips, with a profit factor of 1.45 and annual return on investment of 83%.
- Performance metrics are also provided for a combined black box system and a single black box, showing gross and net profits, number of trades, cumulative profits, and return on investment over the 42 month period.
The document summarizes the performance of the SAGE 44 trading system over a period from December 2009 to June 2013 comprising 914 trading days. Some key details include:
- The average gross and net profit per trade was 7.3 pips and 4.3 pips respectively over 6,976 trades.
- The cumulative net profit over the period was 29,997 pips, with a profit factor of 1.47.
- The annualized return on investment was 86% after 42 months of trading.
Predictive automated margin trading technology part 3Yuri Martemianov
1) The document reports on the operational performance of an automated trading system called SAGE44 from 2009-2013. SAGE44 achieved returns of around 100% in 2010 and 2011 but then had declining performance from 2012-mid 2013.
2) In June 2012, new combined black boxes (CBBs) were designed using a CBB builder tool to try to improve performance. 8 CBBs were tested from June 2012 to March 2013, with several achieving profits and positive returns.
3) The document concludes the CBB builder was an effective tool for designing and tuning CBBs to improve performance in unstable market conditions, and considers business applications of the automated trading technology.
This document summarizes the performance of the SAGE44 trading system between December 2009 and May 2013, consisting of 6,882 trades over 904 days with an average gross profit per trade of 7.4 pips, net profit of 4.4 pips, cumulative profit of 30,281 pips, and profit factor of 1.47, yielding an annual return on investment of 89% over 41 months of trading. It also summarizes the performance of a combined black box system with 944 trades, 30,114 pips in cumulative profit, and 88% annual ROI, as well as a single black box system with 157 trades, 7,834 pips in cumulative profit and 157% annual ROI.
This summary provides performance metrics for a forex trading system called SAGE over a period of 3 years and 41 months from December 2009 to May 2013. Over 6,822 trades, SAGE achieved a gross profit per trade of 7.3 pips and net profit per trade of 4.3 pips. The cumulative net profit was 29,335 pips and profit factor was 1.46, resulting in an annual return on investment of 86%. More details are available in the linked presentations.
Predictive automated marginal trading technology pamtt part 4Yuri Martemianov
This document discusses Predictive Automated Marginal Trading Technology (PAMTT), which is a universal technology for designing and implementing automated trading systems for multiple assets. PAMTT applications can be available under contract and provide delivery, maintenance, and updating. PAMTT is capable of designing Combined Black Box trading systems for various assets based on historical quotation data provided by the customer. The core of PAMTT uses mathematical models joined by a common calculation process that provides high adoption for different assets, timeframes, and fast calculation speeds. PAMTT systems can be used as software for individual traders or as part of a trading company's back office systems.
SAGE44 was a combined black box trading system that began trading in 2009 with an initial $10,000 deposit. [1] It demonstrated 100% annual returns in 2010 and 2011, bringing equity to over $30,000. [2] Performance declined in the first half of 2012. [3] Several new combined black boxes were then designed and tested, with some showing strong profits over the subsequent 8 months. [4] Combined black box building and tuning appears to be an effective strategy for adapting to changing market conditions.
Predictive automated marginal trading technology pamtt part 2Yuri Martemianov
The document outlines the conceptual design of PAMTT (Predictive Automated Marginal Trading Technology) software. The central component is the Automated Trading Strategy Designer (ATSD) which models the trade process and provides performance analysis. ATSD optimizes trading strategies using parameter vectors. Optimized strategies are stored as "Black Boxes" that can be combined into a "Combined Black Box" with a user interface. The Combined Black Box application integrates the Black Boxes, connects to rate/order execution sources, and provides monitoring/control through the user interface. Various implementations are described including FXCM and MT4 integrations.
Predictive automated marginal trading technology pamtt part 1 Yuri Martemianov
The document outlines PAMTT (Predictive Automated Margin Trading Technology), which generates trade orders through predictive algorithms and executes them automatically. PAMTT allows for the unified design, testing, and execution of automated trading strategies. It provides tools for analyzing strategy performance, can handle multiple strategies and assets, and can design combined strategies. PAMTT is designed for predictive marginal trading and generates trade orders based on time series models of market rate data.
What Lessons Can New Investors Learn from Newman Leech’s Success?Newman Leech
Newman Leech's success in the real estate industry is based on key lessons and principles, offering practical advice for new investors and serving as a blueprint for building a successful career.
This document summarizes the performance of the SAGE 44 trading system between December 2009 and November 2013, comprising 3 years and 47 months of trade data. Over this period, the system generated a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips from 7,866 trades. The cumulative net profit was 25,171 pips, representing an annual return on investment of 64% after 47 months of trading. Specific black box models within the SAGE 44 system achieved higher profits and returns.
The document summarizes the performance of the SAGE 44 trading strategy over 3 years from December 2009 to November 2013 comprising 1024 trade days. The strategy achieved a gross profit per trade of 6.1 pips and net profit per trade of 3.1 pips, with a profit factor of 1.39 and annual return on investment of 62% after making 7,803 trades for a cumulative net profit of 24,200 pips over 47 months of trading. Combined black boxes and single black boxes based on SAGE 44 are also summarized with similar metrics shown.
The document summarizes the performance of the SAGE 44 trading strategy between December 2009 and October 2013 over 1014 trade days. The strategy achieved a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips. Over 7725 trades, it achieved a cumulative net profit of 24,720 pips, representing an annual return on investment of 65% over 46 months of trading. Specific single and combined black box systems are also summarized, showing similar profitability metrics over the same period.
The document summarizes the performance of the SAGE 44 trading strategy between December 2009 and October 2013 over 1004 trade days. The strategy achieved a gross profit per trade of 6.2 pips and net profit per trade of 3.2 pips from 7,645 total trades, resulting in cumulative net profits of 24,464 pips. The profit factor was 1.40 and return on investment was 64% over the 46 month period. Combined and single black box performance results using the SAGE 44 strategy are also presented.
The document summarizes the performance of the SAGE 44 trading system between December 1, 2009 and September 24, 2013, comprising 994 trade days over 3 years and 45 months. Some key details include:
- Gross profit per trade of 6.5 pips and net profit per trade of 3.5 pips from 7,572 total trades, resulting in cumulative net profit of 26,502 pips. The profit factor was 1.42 and return on investment was 71% after 45 months of trading.
- A combined black box of 7 SAGE44 single boxes achieved gross profit per trade of 30.8 pips and net profit per trade of 27.8 pips from 1,032 trades,
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to September 10, 2013, consisting of 984 trade days over 3 years and 45 months. Over 7,488 trades, the system achieved a gross profit per trade of 7.0 pips and net profit per trade of 4.0 pips, for a cumulative net profit of 29,952 pips. The profit factor was 1.45 and return on investment was 80% after 45 months of trading. Performance metrics are also provided for a combined black box system and a single black box system within the SAGE 44 system.
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to August 27, 2013, consisting of 974 trade days over 3 years and 44 months. The SAGE 44 system generated a gross profit per trade of 7.0 pips and net profit per trade of 4.0 pips over 7,424 trades, resulting in cumulative net profits of 29,696 pips. The profit factor was 1.45 and return on investment was 81% after 44 months of trading. Combined black boxes and single black boxes from SAGE 44 are also summarized, showing gross and net profits per trade, number of trades, cumulative profits, profit factors, and returns on investment.
The document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to July 30, 2013 over 954 trade days. Over this period, the system generated a gross profit per trade of 7.1 pips and net profit per trade of 4.1 pips from 7,302 total trades, resulting in cumulative net profits of 29,938 pips. The profit factor was 1.46 and the annual return on investment was 84% over the 43 month period. Additional performance metrics are provided for combined and single black box systems run on SAGE 44 strategies.
This document summarizes the performance of the SAGE 44 trading system from December 1, 2009 to July 16, 2013 over 944 trade days. Over this period, the system generated a gross profit per trade of 7.1 pips and net profit per trade of 4.1 pips from 7,234 total trades, resulting in cumulative net profits of 29,659 pips. The profit factor was 1.45 and return on investment was 83% over the 43 month period. Additional performance metrics are provided for combined and single black boxes used in the SAGE 44 system.
The document summarizes the performance of the SAGE 44 trading system over a period from December 2009 to June 2013, comprising 924 trading days. Some key details include:
- The average gross and net profit per trade was 7.1 pips and 4.1 pips respectively, with a total of 7,058 trades.
- The cumulative net profit over the period was 28,939 pips, with a profit factor of 1.45 and annual return on investment of 83%.
- Performance metrics are also provided for a combined black box system and a single black box, showing gross and net profits, number of trades, cumulative profits, and return on investment over the 42 month period.
The document summarizes the performance of the SAGE 44 trading system over a period from December 2009 to June 2013 comprising 914 trading days. Some key details include:
- The average gross and net profit per trade was 7.3 pips and 4.3 pips respectively over 6,976 trades.
- The cumulative net profit over the period was 29,997 pips, with a profit factor of 1.47.
- The annualized return on investment was 86% after 42 months of trading.
Predictive automated margin trading technology part 3Yuri Martemianov
1) The document reports on the operational performance of an automated trading system called SAGE44 from 2009-2013. SAGE44 achieved returns of around 100% in 2010 and 2011 but then had declining performance from 2012-mid 2013.
2) In June 2012, new combined black boxes (CBBs) were designed using a CBB builder tool to try to improve performance. 8 CBBs were tested from June 2012 to March 2013, with several achieving profits and positive returns.
3) The document concludes the CBB builder was an effective tool for designing and tuning CBBs to improve performance in unstable market conditions, and considers business applications of the automated trading technology.
This document summarizes the performance of the SAGE44 trading system between December 2009 and May 2013, consisting of 6,882 trades over 904 days with an average gross profit per trade of 7.4 pips, net profit of 4.4 pips, cumulative profit of 30,281 pips, and profit factor of 1.47, yielding an annual return on investment of 89% over 41 months of trading. It also summarizes the performance of a combined black box system with 944 trades, 30,114 pips in cumulative profit, and 88% annual ROI, as well as a single black box system with 157 trades, 7,834 pips in cumulative profit and 157% annual ROI.
This summary provides performance metrics for a forex trading system called SAGE over a period of 3 years and 41 months from December 2009 to May 2013. Over 6,822 trades, SAGE achieved a gross profit per trade of 7.3 pips and net profit per trade of 4.3 pips. The cumulative net profit was 29,335 pips and profit factor was 1.46, resulting in an annual return on investment of 86%. More details are available in the linked presentations.
Predictive automated marginal trading technology pamtt part 4Yuri Martemianov
This document discusses Predictive Automated Marginal Trading Technology (PAMTT), which is a universal technology for designing and implementing automated trading systems for multiple assets. PAMTT applications can be available under contract and provide delivery, maintenance, and updating. PAMTT is capable of designing Combined Black Box trading systems for various assets based on historical quotation data provided by the customer. The core of PAMTT uses mathematical models joined by a common calculation process that provides high adoption for different assets, timeframes, and fast calculation speeds. PAMTT systems can be used as software for individual traders or as part of a trading company's back office systems.
SAGE44 was a combined black box trading system that began trading in 2009 with an initial $10,000 deposit. [1] It demonstrated 100% annual returns in 2010 and 2011, bringing equity to over $30,000. [2] Performance declined in the first half of 2012. [3] Several new combined black boxes were then designed and tested, with some showing strong profits over the subsequent 8 months. [4] Combined black box building and tuning appears to be an effective strategy for adapting to changing market conditions.
Predictive automated marginal trading technology pamtt part 2Yuri Martemianov
The document outlines the conceptual design of PAMTT (Predictive Automated Marginal Trading Technology) software. The central component is the Automated Trading Strategy Designer (ATSD) which models the trade process and provides performance analysis. ATSD optimizes trading strategies using parameter vectors. Optimized strategies are stored as "Black Boxes" that can be combined into a "Combined Black Box" with a user interface. The Combined Black Box application integrates the Black Boxes, connects to rate/order execution sources, and provides monitoring/control through the user interface. Various implementations are described including FXCM and MT4 integrations.
Predictive automated marginal trading technology pamtt part 1 Yuri Martemianov
The document outlines PAMTT (Predictive Automated Margin Trading Technology), which generates trade orders through predictive algorithms and executes them automatically. PAMTT allows for the unified design, testing, and execution of automated trading strategies. It provides tools for analyzing strategy performance, can handle multiple strategies and assets, and can design combined strategies. PAMTT is designed for predictive marginal trading and generates trade orders based on time series models of market rate data.
What Lessons Can New Investors Learn from Newman Leech’s Success?Newman Leech
Newman Leech's success in the real estate industry is based on key lessons and principles, offering practical advice for new investors and serving as a blueprint for building a successful career.
Dr. Alyce Su Cover Story - China's Investment Leadermsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
South Dakota State University degree offer diploma Transcriptynfqplhm
办理美国SDSU毕业证书制作南达科他州立大学假文凭定制Q微168899991做SDSU留信网教留服认证海牙认证改SDSU成绩单GPA做SDSU假学位证假文凭高仿毕业证GRE代考如何申请南达科他州立大学South Dakota State University degree offer diploma Transcript
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
An accounting information system (AIS) refers to tools and systems designed for the collection and display of accounting information so accountants and executives can make informed decisions.
Monthly Market Risk Update: June 2024 [SlideShare]Commonwealth
Markets rallied in May, with all three major U.S. equity indices up for the month, said Sam Millette, director of fixed income, in his latest Market Risk Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
How to Identify the Best Crypto to Buy Now in 2024.pdfKezex (KZX)
To identify the best crypto to buy in 2024, analyze market trends, assess the project's fundamentals, review the development team and community, monitor adoption rates, and evaluate risk tolerance. Stay updated with news, regulatory changes, and expert opinions to make informed decisions.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.