NordenBladet – No matter what field you work in, you need to stay on top of your work to be successful. Day trading requires a high level of discipline and attention, as well as a thorough understanding of the markets and the financial instruments being traded. What could be the top 25 tips for a day trader?
1. Develop a trading plan and stick to it.
2. Keep emotions out of trading decisions.
3. Set clear and realistic profit and loss targets.
4. Diversify your portfolio to reduce risk.
5. Stay informed about market news and trends.
6. Use stop-loss orders to limit potential losses.
7. Use technical analysis to identify trends and patterns.
8. Use fundamental analysis to evaluate the underlying value of a stock.
9. Keep a trading journal to track progress and learn from mistakes.
10. Use risk management techniques such as position sizing and hedging.
11. Stay patient and disciplined.
12. Avoid over-trading.
13. Learn to read and interpret financial statements.
14. Understand the impact of economic indicators on the market.
15. Learn to read and interpret charts and technical indicators.
16. Focus on a specific market or sector to become an expert.
17. Stay up to date on regulatory changes that may affect your trades.
18. Do not chase after hot stocks or market trends.
19. Learn to take profits and cut losses.
20. Only trade with money you can afford to lose.
21. Have a clear exit strategy before entering a trade.
22. Don’t rely on insider information or tips.
23. Don’t over leverage your account.
24. Have a well-rounded financial education
25. Continuously learn and improve your trading strategy.
Who is a day trader?
A day trader is an individual who buys and sells financial instruments, such as stocks, options, currencies, or commodities, within the same trading day. Day traders typically hold their positions for a very short period of time, often just a few minutes or hours, and they aim to make small but frequent profits by taking advantage of short-term price movements. Day traders usually use technical analysis and charting to find trades and make decisions, and they tend to have a high tolerance for risk. Day traders usually work independently, rather than being employed by a financial institution, and they use their own capital to trade.
NordenBladet – The stock market never sleeps and every event is unique and new. However, it is said that situations tend to repeat themselves and those who do not remember the past live without a future. Russia’s attack on Ukraine is currently the biggest market changer. But what other events have brought big ups and downs to the stock market? We highlight ten interesting stories about the stock market that are definitely worth mentioning.
What are ten most interesting stories or situations about the stock market?
The GameStop short squeeze: In January 2021, a group of retail investors organized on the subreddit r/wallstreetbets coordinated to buy shares of GameStop, a struggling video game retailer, in order to cause a short squeeze. The stock price of GameStop skyrocketed, causing significant losses for hedge funds that had bet against the company. The situation drew attention to the power of retail investors and the potential for social media to influence the stock market.
The 2008 Financial Crisis: The 2008 financial crisis was caused by a combination of factors, including a housing market bubble, lax regulation, and risky lending practices. The crisis led to the failure of several large financial institutions and a global recession. The government intervened with a series of measures, such as the Troubled Asset Relief Program (TARP) and the American Recovery and Reinvestment Act of 2009, in order to stabilize the economy.
The Dot-com Bubble: The dot-com bubble was a period of speculation and hype surrounding internet-based companies in the late 1990s. Many investors poured money into these companies, driving up their stock prices to unsustainable levels. When the bubble burst in 2000, many of these companies went bankrupt and investors lost significant amounts of money. The dot-com bubble is often cited as an example of irrational exuberance in the stock market.
Black Monday: On October 19, 1987, the stock market experienced one of the largest single-day crashes in history, with the Dow Jones Industrial Average dropping by 22.6%. The cause of the crash is still debated, but some factors that contributed to it include high levels of debt, trade imbalances, and a lack of investor confidence.
The Tesla stock rally: In 2020, the stock price of electric car manufacturer Tesla increased by over 600%, making it the most valuable car company in the world. The rally was driven by strong demand for electric vehicles, as well as by CEO Elon Musk’s tweets and public statements.
The China-US Trade War: The ongoing trade tensions between the United States and China has had a significant impact on the stock market. The tariffs and other trade measures imposed by both countries have led to uncertainty and volatility in various sectors of the market.
The 2020 COVID-19 market crash: The outbreak of the COVID-19 pandemic in 2020 led to a sharp decline in the stock market, as investors worried about the economic impact of the virus. The S&P 500 index fell by 34% between February 19 and March 23, 2020, marking one of the fastest bear markets in history.
The 1987 insider trading scandal: In the late 1980s, a number of Wall Street firms and traders were found to have engaged in insider trading, using non-public information to make profitable trades. The scandal led to the conviction of several high-profile individuals, including Ivan Boesky and Michael Milken, and led to increased regulation of the securities industry.
The Enron Scandal: In 2001, energy company Enron was found to have engaged in accounting fraud, overstating its profits and hiding its debts. The scandal led to the bankruptcy of the company and the loss of thousands of jobs. It also led to increased regulations and oversight of publicly traded companies.
The 2008-09 Financial Crisis in Greece: The global financial crisis of 2008 had a severe impact on Greece’s economy, which was already struggling with high levels of debt. The crisis led to a loss of investor confidence in Greek bonds, and to a sovereign debt crisis. The Greek government was forced to seek financial assistance from the European Union and the International Monetary Fund.
NordenBladet —Last month saw the coldest December in Iceland since 1973, with the average temperature across the country of around -4.0 degrees Celsius (24.8 degrees Fahrenheit).
According to the country’s Met Office, the country’s capital Reykjavík saw the coldest on record since December 1916, over 100 years ago.
Throughout 2022, Iceland was mostly dry across many parts of the country, with December’s rainfall the lowest recorded in years.
On the flip side, Reykjavík was usually sunny in December 2022, with sunshine around 51.0 hours during December. Roughly 38.4 times above average since 1991.
The average temperature in December in the capital has only been lower in years 1878, 1886, 1880.
NordenBladet – Norwegians traded cross-border for NOK 3.6 billion in the 2nd quarter. This means that cross-border trade is back at the same level as before the pandemic.
New figures from Statistics Norway (SSB) show that Norwegians shopped for NOK 3.6 billion across the border during April, May and June this year.
“Cross-border trade has quickly risen to the same level as in the years before the pandemic,” says adviser Kristin Aasestad from Statistics Norway.
The quarterly figures now show that cross-border trade is at a level that corresponds to the second quarter of the years from 2016 to 2018. In the second quarter of 2019, cross-border trade was just over NOK 4 billion.
NordenBladet – A hijab ban in primary school is one of the proposals from a Danish commission that has looked at how minority women can be guaranteed the same rights as other women.
-“When someone wears a hijab, it shows that Danish Muslims are different from other Danish girls,” says commission leader Christina Krzyrosiak Hansen to the Ritzau news agency.
“When you are a little girl and go to primary school, you should be allowed to just be a child. If someone finds out later in life, when they are adults, that they want to wear a headscarf – of their own free will – we don’t get involved,” says Hansen.
“But we have to talk openly about this happening. No one believes that an eight-year-old girl takes it on all by herself,” she adds.
The government-appointed commission has made recommendations that apply to girls from ethnic minorities.
In addition to hijab bans in schools, it recommends, among other things, that children’s groups in day care “should reflect the population”.
They also want courses in modern Danish education to be given to “selected minority ethnic parents”, and they want to strengthen sex education.
No figures have been presented on how many wear the hijab at school or how many feel pressured to wear a headscarf.
Earlier this year, the commission announced that it would make recommendations in three stages. The first should be about children, the next two will be about young people and adults.
Immigration and Integration Minister Kaare Dybvad Bek has not responded to Danmarks Radio’s question about how the government relates to the recommendations that have been made.
NordenBladet – There are 259,341 children aged 0–17 living in Estonia. This is 9.1% more than ten years ago. Children constitute 19.5% of the total population of Estonia. The share of children is the lowest in Hiiu and Ida-Viru counties and the highest in Harju and Tartu counties, as revealed by the census results published today.
There are 26,656 children aged under two, 71,779 children aged 2–6, 57,200 children aged 7–10 and 62,157 children aged 11–14 living in Estonia. Terje Trasberg, leading analyst at Statistics Estonia, said that 11-year-old boys are the biggest group among children – there are 8,905 of them. “These boys were one year old during the previous census 10 years ago, when they were also the biggest group. The overall number of children is bigger than 10 years ago, but there are now fewer children aged under 4 in Estonia than in 2011. This reflects the low birth rates of recent years,” said Trasberg.
62% of children live in Tartu and Harju counties, with the remaining share living in other counties. Regionally, the share of children is the biggest in Tartu county where children account for over a fifth of the population (21.5%). The share of children is above the Estonian average (19.5%) also in Harju and Rapla counties. Their share is the lowest in Hiiu (15.5%) and Ida-Viru (16%) counties.
Among local governments, the share of children was noticeably higher in Rae (31.5%), Kiili (28.5%) and Kambja (27.5%) rural municipalities. “I should also mention Luunja rural municipality where the share of children aged under two was 3.2% of the population – this is the second-highest share in Estonia after Rae rural municipality (3.6%). The share of children was especially low on the small islands of Ruhnu and Vormsi, and also in Loksa city – under 13% of the population,” explained Trasberg.
The census results show a decrease in the share of women with one or two children, while there has been a rise in the number of women with three or four children. 12.5% of women have given birth to three children, and 3% of women have given birth to four children. The average number of children born to a woman has not changed significantly. According to the 2021 census, women in Estonia (aged 15 and over) have 1.55 children on average. The number of children per woman is the highest in Jõgeva county (1.88) and the lowest in Harju county (1.38).
“At the same time, the average number of children did fall among younger women, with the biggest decrease recorded among women aged 27–30, which reflects the fact that the current average age at the birth of the first child is considerably higher,” added Trasberg. The average age at the birth of the first child is the lowest among women in Valga county and the highest in Harju county. There has also been a rise in the number of women of reproductive age (15–49) who have not given birth at all – they currently represent 39.59% of women.
This overview is based on the data of the 2021 Population and Housing Census. Statistics Estonia will publish the census results gradually by topic, starting from today until the end of the year. More information and the release dates are available on the census website at census.ee.
Featured image: NordenBladet Source: Rahvaloendus.ee
NordenBladet – A total of 737,873 dwellings were counted in the 2021 Population and Housing Census, based on registers. Compared to the 2011 census, 47,793 new dwellings have been built, which is 1000 fewer than in the previous ten years (2001–2011). According to census data, there are now 14% more private houses than 10 years ago and 24% of all dwellings are vacant.
At the census moment, i.e. 31 December 2021, there were 737,873 dwellings enumerated in Estonia, including private houses and blocks of flats, collective living quarters and other housing units. 557,146 (76%) of all the enumerated dwellings were occupied, i.e. had at least one permanent resident, and 175,690 (24%) were without permanent residents. The share of dwellings without permanent residents has increased between the two censuses. In 2011, 84% of dwellings were occupied, compared to 87% in 2000.
“These numbers suggest that people have been acquiring, for instance, summer-houses and other properties they do not constantly inhabit. Dwellings that have already been completed according to the building register but that have not yet been inhabited are also included here,” explained Terje Trasberg, leading analyst at Statistics Estonia.
Liina Osila, Population and Housing Census project manager at Statistics Estonia, noted that compared to the previous census, the number of dwellings with permanent residents in Estonia has increased by 2.2%. “In general, the quality of people’s living spaces in Estonia has certainly improved. The number of dwellings with a water supply system, bathing facilities, toilet facilities, as well as with central heating has increased. Living in a private house has become increasingly popular,” stated Osila.
Narva has the largest apartment buildings
The number of residential buildings in Estonia is 266,475 based on the 2021 census. Of these, 77.5% (206,529) are one-family dwellings, 18% (47, 847) are blocks of flats, 3.2% (8,572) are semi-detached houses and 1.3% (3527) non-residential buildings, with at least one living space.
Narva has the biggest blocks of flats, with an average of 64 flats per building. Estonia’s largest block of flats, with a total of 360 flats, is also located in Narva. The smallest apartment buildings are in Hiiumaa, where the average number of flats per building is 9.05. There is only one municipality in Estonia – Ruhnu – where there are no blocks of flats.
The largest number of people lives in buildings completed in 1961
69.8% (389,101) of the dwellings with permanent residents are located in blocks of flats (buildings with three or more flats), 27.7% (154,426) are in private houses, 1.6% (8736) in semi-detached houses and 0.9% (4883) are in non-residential buildings.
17,167 new buildings with conventional dwellings have been added to the dwelling stock since the previous census (i.e. their year of construction is 2012 or later). 82.1% of these are private houses, 11.2% are blocks of flats, 6% semi-detached houses and 0.7% are non-residential buildings. “Since blocks of flats contain more dwellings, there has been a bigger increase in dwellings located in apartment buildings: of the dwellings added in the last ten years, 29.8% are in private houses and 64.4% in blocks of flats,” Trasberg explained. By year of construction, however, the largest number of occupied dwellings is found in buildings completed in 1961.
On average, the largest dwellings are in Kiili, the smallest in Sillamäe
The total area of occupied dwellings is 38,970,750 m2 – a rise by 1.38% (530,488 m2) compared to 2011. The total area of vacant (unoccupied) dwellings is 10,689, 971 m2.
Across all types of dwellings (private houses, blocks of flats), the area per inhabitant has, on average, decreased slightly compared to 2011: from 30.5 m2 in 2011 to 30.1 m2 in 2021. A decrease has also occurred in the average number of rooms per inhabitant, from 1.24 in the 2011 census to 1.21 in 2021.
Rae municipality has the highest number of inhabitants per occupied dwelling (3.1), while the number is lowest in Sillamäe city (1.95). The largest dwellings are in Kiili municipality and the smallest in Sillamäe city.
Estonians and Finns are the only people in the world who bathe in saunas
The availability of comfort characteristics has improved in all dwellings (both in occupied and vacant ones): the number of dwellings with a water supply system, with bathing facilities, with indoor flush toilet facilities, and with central heating has increased. 93.3% of occupied dwellings have a water supply system, 93.1% of dwellings have bathing facilities, 91.1% have toilet facilities (flush toilet) and 68.5% have central heating. Sillamäe has the highest coverage of flush toilets (99% of dwellings).
Compared to the previous census, the number of dwellings that have toilet facilities has risen by 5.2% (25,295) and a big increase has also occured in the number of dwellings with bathing facilities – up by 11,335. There has been a similar rise in the number of dwellings with central heating (up by 11,597). “Estonia and Finland are the only countries where saunas are considered as bathing facilities in a population and housing census,” Trasberg added.
NordenBladet – During the population and housing census, information on the highest level of education attained by inhabitants of Estonia was also gathered. Collected data revealed that the educational attainment of the population continues to rise. The level of education of foreigners living in here has also increased significantly. Below we will take a closer look at the educational attainment of the native Estonian- and Russian-speaking population as well as that of other mother tongue speakers and see how it has changed since the previous censuses.
As at the end of 2021, 18% of the native Estonian-speaking population aged 25 and over have basic education (or less), 43% have secondary education (or vocational education after secondary education), and 39% have higher education (or secondary specialised education after secondary education). The proportion of people with basic education is lower among native Russian speakers (11%), which means that the share of persons with secondary or higher education is a few percent higher than among the native Estonian-speaking population. Among native speakers of other languages, as many as 64% have higher education, and only 8% have basic education.
There are 13.5% fewer people with basic education or less among native Estonian speakers than at the time of the 2000 census. The drop is slightly smaller among the Russian-speaking population (-11.2%), while for people with other mother tongues, the decrease is almost twice as large (-25.6%). The share of people with secondary education has not changed significantly in the native Estonian- and Russian-speaking populations. However, among native speakers of other languages, there are now nearly 10% fewer people with secondary education than 20 years ago.
While the shares of people with basic and secondary education in the population have tended to decrease, the proportion of those with higher education has increased – by 13.2% for native Estonian speakers, by 9.5% for native speakers of Russian, and by 35.2% for the population speaking some other mother tongue. It is worth noting that while the percentage of people with higher education is rising in all three aforementioned groups, the proportion of the highly educated has increased much faster among other mother tongue speakers. This suggests that it is the highly educated foreigners that tend to migrate to Estonia nowadays.
The biggest changes in educational attainment among the Estonian- and Russian-speaking population occurred between the censuses of 2000 and 2011, but the most significant change among the population with some other mother tongue was seen after the census of 2011.
The gender gap in higher education is widest among native Estonian speakers
In most age groups, the share of people with tertiary education is highest among native speakers of languages other than Estonian or Russian. In the Estonian- and Russian-speaking population, less than 1.5% of people in each age group have a doctorate. Among native speakers of other languages, the share of doctoral degree holders is higher in all age groups under the age of 75. It is particularly high in the 35–49 age group – over 4%. The highest percentages of young people with a master’s and a bachelor’s degree are also found among those whose mother tongue is not Estonian or Russian: the proportion of master’s degree holders is highest in the 30–34 age group (36.1%) and the highest share of bachelor’s degree holders was recorded among those aged 25 to 29 (40.7%). For comparison: 15.3% of the 30–34-year-old native Estonian speakers and 11.9% of native Russian speakers have a master’s degree. People with a bachelor’s degree make up less than 25% of both Estonian and Russian native speakers aged 25–29. Therefore, the young and working-age foreigners staying here permanently are quite highly educated. They are likely to have come here to work in a professional capacity or to further their education.
The proportion of tertiary-educated people is higher among women than men, and the gender gap is particularly wide in the native Estonian-speaking population. Especially among the native Estonian but also Russian speakers, the share of young and working-age women with higher education is much higher than that of men. In older age groups, it is the other way round: the percentage of men with higher education is higher. Among the population with some other mother tongue, the differences are not as pronounced. In the native Estonian-speaking female population, the share of those with tertiary education is highest in the 40–44 age group, reaching 57.8%. In this age group, 34.4% of Estonian-speaking men, 49.1% of Russian-speaking women and 33.1% of Russian-speaking men, and 73.8% of women and 67.4% of men with some other mother tongue have higher education.
In older age groups, the proportions of the highly educated are roughly the same across different mother tongues: less than 10% of people aged 55 and over have a bachelor’s degree and 19–25% of 55–74-year-olds have a master’s degree. The share of people with secondary specialised education (after secondary education) is higher among other mother tongue speakers and native Russian speakers over the age of 40. This makes sense since in Estonia, students were last admitted to schools offering such an education in 1999. Such educational institutions are more common in Russia, for instance.
Basic and secondary education are the highest completed educational levels in younger age groups of various mother tongues. Among older age groups, the proportions of people with basic and secondary education tend to be similar across different mother tongue groups. However, among 25–55-year-old native speakers of languages other than Estonian or Russian, the share of people with basic or secondary education is significantly lower than among the Estonian- and Russian-speaking population.
More highly educated people of other mother tongues live in Estonia than ever before
The educational attainment of the population with some other mother tongue has risen in all age groups since 2000, most notably among 25–34-year-olds. In 2000, higher education was recorded for 38% and in 2021 for 78.8% of them. These are young people who have either obtained a higher education in Estonia and then stayed here, or who have come to work and live in this country after completing their tertiary studies elsewhere. When it comes to older people, a major change occurred, for instance, in the 65–74 age group: the share of the highly educated among them is now 33.9% higher than 20 years ago. Overall, educational attainment of men and women rose equally.
NordenBladet – The aim of celebrating the Day of Living in the Countryside is to open doors to active and brilliant people, to help them find a suitable living place in the countryside. This year the municipalities are welcoming you and will be introducing to the guests the kindergartens, schools, society houses, health centers, sports centers, and businesses. Besides they are offering information about free places of residence and will talk about possibilities of creating a job for oneself.
The program of the Day of Living in the Countryside is compiled by municipalities together with communities all over Estonia. The program schedule will help find information about what and where is going to happen. Take your family along and become assured that people actually live in the countryside! In the process of choosing you can get to know stories from the people that recently moved from town to the countryside. News about the Day of Living in the Countryside will be published here. With questions, please turn to the organisers of the Day of Living in the Countryside (Maal elmaise päev).
The programs of the Day of Living in the Countryside are held all over Estonia for the fourth time already. Mostly, events will accumulate in the society houses and village centers, those are welcoming guests and are offering common activities, taste experiences and bits of inspiration regarding life and entrepreneurship in the countryside.
Introducing your home side success stories to the guests, every member of the community feels that it is good to live in the countryside and it will be the home side celebration day!
NordenBladet –The backend of companies that develop and promote friendly AI in the form of advanced machine learning models are likely made up of a combination of several different technologies and architectures, including:
Cloud computing: Machine learning models are trained and run on large-scale cloud computing infrastructure, such as Amazon Web Services* (AWS) or Google Cloud Platform** (GCP), to ensure that they have access to the necessary computational resources to function.
Distributed computing: Machine learning models are distributed across multiple machines, which allows them to take advantage of parallel processing to speed up training and inference.
Machine learning frameworks: Most likely they use popular machine learning frameworks such as TensorFlow*** or PyTorch**** to build and run their models. These frameworks provide a set of pre-built tools and libraries that can be used to train and run machine learning models.
Neural networks: Machine learning are likely based on neural networks, which are a type of machine learning model that is inspired by the structure and function of the human brain. Neural networks can be trained to perform a wide range of tasks, including image recognition, natural language processing, and more.
Large data sets: Machine learning likely have access to large data sets that are used to train their models. The more data a model has access to, the better it can perform.
What is a machine learning model?
A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data.
What is artificial intelligence (AI) development?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
The definition of an AI developer is pretty self-explanatory: they develop the artificial intelligence software and applications that a particular business might use. They program systems that will change to suit the business’s needs based on the data collected and analyzed.
What is a Neural Network?
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature.
What is an expert system?
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
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* AWS (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and packaged-software-as-a-service (SaaS) offerings.
** Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube.
*** TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
****PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is free and open-source software released under the modified BSD license.
