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Oficio SINTRAEDUCOM
El presidente del sindicato de maestros SINTRAEDUCOM escribe una carta a la Secretaria de Educación Municipal de Soledad solicitando el pago inmediato de las horas extras adeudadas a algunos maestros de 2011. También solicita una audiencia con la Secretaria para discutir el trabajo sindical de defender los derechos de los maestros y mejorar la educación. El sindicato espera que la Secretaria cancele el pago de horas extras en enero dado que los maestros trabajan con compromiso y responsabilidad pero necesitan los ingresos para sus
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O documento discute como ter uma visão correta de Deus através de experiências com Ele, como Jacó teve ao sonhar com a escada, e não apenas conhecimento. Também fala sobre como a visão limitada de Deus impedia Moisés de cumprir Sua missão até receber revelação divina. Pedro é elogiado por reconhecer Jesus como o Filho de Deus através da revelação do Pai celestial, não por esforço humano.
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Nov19th2013 0000 gmt
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.
Nov5th2013 0000 gmt
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.
Oct22nd2013 0000 gmt
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.
Oct8th2013 0000 gmt
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.
Sep24th2013 0000 gmt
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,
Sep10th2013 0000 gmt
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.
Aug27th2013 0000 gmt
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.
July30th2013 0000 gmt
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.
July16th2013 0000 gmt
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.
June18th2013 0000 gmt
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.
June4th2013 0000 gmt
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 3
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.
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Nov19th2013 0000 gmt
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.
Nov5th2013 0000 gmt
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.
Oct22nd2013 0000 gmt
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.
Oct8th2013 0000 gmt
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.
Sep24th2013 0000 gmt
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,
Sep10th2013 0000 gmt
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.
Aug27th2013 0000 gmt
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.
July30th2013 0000 gmt
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.
July16th2013 0000 gmt
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.
June18th2013 0000 gmt
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.
June4th2013 0000 gmt
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 3
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.
May21st2013 0000 gmt
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.
May7th2013 0000 gmt
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 4
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.
Predictive automated margin trading technology part3
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 2
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
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.
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本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线父亲的家很狭小除了一张单人床和一张小方桌几乎没有多余的空间山娃一下子就联想起学校的男小便处山娃很想笑却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气不能跟陌生人搭腔更不能乱跑一怕迷路二怕拐子拐人山娃很惊惧去年村里的田鸡就因为跟父亲进城一不小心被人拐跑了至今不见踪影害不
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.真实可查(nwu毕业证书)美国西北大学毕业证学位证书范本原版一模一样
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
The state of welfare Resolution Foundation Event
How has Britain’s safety net changed since 2010 and what comes next?
Bridging the gap: Online job postings, survey data and the assessment of job ...
Bridging the gap: Online job postings, survey data and the assessment of job ...Labour Market Information Council | Conseil de l’information sur le marché du travail
OJP data from firms like Vicinity Jobs have emerged as a complement to traditional sources of labour demand data, such as the Job Vacancy and Wages Survey (JVWS). Ibrahim Abuallail, PhD Candidate, University of Ottawa, presented research relating to bias in OJPs and a proposed approach to effectively adjust OJP data to complement existing official data (such as from the JVWS) and improve the measurement of labour demand.Seeman_Fiintouch_LLP_Newsletter_Jun_2024.pdf
The Impact of the 2024 Indian
Election Beyond Borders
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Optimizing Net Interest Margin (NIM) in the Financial Sector (With Examples).pdf
NIM is calculated as the difference between interest income earned and interest expenses paid, divided by interest-earning assets.
Importance: NIM serves as a critical measure of a financial institution's profitability and operational efficiency. It reflects how effectively the institution is utilizing its interest-earning assets to generate income while managing interest costs.
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Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Ending stagnation: How to boost prosperity across Scotland
A toxic combination of 15 years of low growth, and four decades of high inequality, has left Britain poorer and falling behind its peers. Productivity growth is weak and public investment is low, while wages today are no higher than they were before the financial crisis. Britain needs a new economic strategy to lift itself out of stagnation.
Scotland is in many ways a microcosm of this challenge. It has become a hub for creative industries, is home to several world-class universities and a thriving community of businesses – strengths that need to be harness and leveraged. But it also has high levels of deprivation, with homelessness reaching a record high and nearly half a million people living in very deep poverty last year. Scotland won’t be truly thriving unless it finds ways to ensure that all its inhabitants benefit from growth and investment. This is the central challenge facing policy makers both in Holyrood and Westminster.
What should a new national economic strategy for Scotland include? What would the pursuit of stronger economic growth mean for local, national and UK-wide policy makers? How will economic change affect the jobs we do, the places we live and the businesses we work for? And what are the prospects for cities like Glasgow, and nations like Scotland, in rising to these challenges?
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What's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightnessLabour Market Information Council | Conseil de l’information sur le marché du travail
In a tight labour market, job-seekers gain bargaining power and leverage it into greater job quality—at least, that’s the conventional wisdom.
Michael, LMIC Economist, presented findings that reveal a weakened relationship between labour market tightness and job quality indicators following the pandemic. Labour market tightness coincided with growth in real wages for only a portion of workers: those in low-wage jobs requiring little education. Several factors—including labour market composition, worker and employer behaviour, and labour market practices—have contributed to the absence of worker benefits. These will be investigated further in future work.Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
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