close

Geraldine A. Basaldua

Trade platform

Citem launches the Spring-Summer 2022 collection on the first French commercial platform

On the occasion of Paris Design Week, the Center des Expositions et Missions Commerciales Internationales (Citem) is launching a new collection of household items and furniture for spring / summer 2022 on Maison & Objet and More (MOM), the digital platform of the great French salon Maison et Objet.

Under the creative direction of lead designers Rita Nazareno and Gabriel Lichauco, the Philippine delegation to MOM will spark nostalgia with designs inspired by key eras; namely, the Roaring Twenties, Italy in the 1950s and California in the 1970s.

“For our Spring / Summer 2022 collection, you can expect bold, striking and vibrant expressions evoking future nostalgia,” said Citem Executive Director Pauline Suaco-Juan. “We harness the abundance of nature and transform natural materials such as rattan, abaca, and wood into quality export crafts that not only elevate our pride as Filipinos, but the lives of artisans as well. and their communities. Through our products, we defend our materials, our culture and our heritage, ”she added.

In addition to showcasing the best of Filipino design, participation in MOM also opens up business opportunities for Filipino brands and manufacturers. While not on-site at Maison et Objet, one of Europe’s premier home and lifestyle trade shows currently taking place, Filipino products continue to be discovered online through MOM, where our products will be available 24/7.

According to Suaco-Juan, attending international trade shows through digital means also complements the agency’s own digitization efforts. In addition to giving Filipino brands additional exposure and visibility in the global design community, it also drives traffic to the digital platforms managed by Citem.

The Philippines’ participation in MOM also saw the selection of two pieces that will be presented at the Maison et Objet Paris 2021 fair from September 9 to 13, 2021. The Check bench and the Fiori lamp join other notable designs in the Best of of the living room. Special MOM exhibition.

The Check bench is one of the previous designs by Zarate Creative Director Jim Torres, which he started developing in 2019. Using two disparate materials, metal and wood, and finished in mint or orange, the piece was also intended to be an elegant texturing solution. interior spaces.

Meanwhile, award-winning furniture maker Finali will present the Fiori lamp, an embodiment of the brand’s aesthetic and sculptural trends, as part of the Best of MOM exhibition. Made from a native and naturally renewable material, rattan, the Fiori lamp simulates a fully bloomed flower on the ground and is strategically designed so that the bulb can be placed in the center.

Currently, the following brands are live on the MOM platform:

• Crafts of Cebu

• Celestial Arts Inc.

• Contemporary

• Chanalli

• E. Murio Manila

• Final

• Hacienda Crafts

• Designs by Haspe

• Aboriginal

• JB Woodcraft

• La Galuche

• Lija by That One Piece

• Bigger

• Heritage of nature

• Obra Cebuana

• Prado Philippins Artisans Inc.

• Prizmic & Brill

• SC Vizcarra

• Stonesets International

• Tadeco

• Lighting and Venzon objects

• Vito Selma

• Weavemanila Inc.

• Zacarias

• Zarate

All pieces from the Philippine delegation to MOM and more from the Home, Fashion and Lifestyle (HFL) industries nationwide are also on FAME +.

FAME + is Citem’s digital sourcing and storytelling platform for HFL sectors. From October 20 to 22, 2021, Citem will welcome buyers and enthusiasts from all over the world at FAME + Market Days, where attendees will be able to initiate business directly with exhibitors and access information sessions covering design, digital marketing and entertainment. .


Source link

read more
Financial market

Automated Forex Trading Tools – Publication of the Best Report on the Financial Market Platform

Waz Digital showcases the latest Forex trading technology with the release of a new report and video from Profit Now, showing how automation is changing the face of financial markets, making them more accessible to people looking to benefit from the. currency arbitrage.

Waz Digital has released a new report on Profit Now and the Manifest FX automated forex trading platform with AI trader support. The report provides an overview of new forex education packages that provide traders with the knowledge, skills and technology to benefit from currency spreads and other strategies.

Visit https://leya_2003.manifestfx.app/frx1 to learn more.

The new report aims to give aspiring and experienced forex traders around the world access to an education and trading platform that helps them bridge the gap between theoretical knowledge and real-world trading skills. Every day, Forex traders generate more than $ 6.5 trillion in transactions, drawing on real-time information on macroeconomic statistics, financial market performance, information on trade agreements and political developments.

Profit Now offers three training courses: Trading Basics, Technical Trading, and Strategic Trading. These courses are supported by live training and help participants identify the right trades, avoid common pitfalls, and understand technical terms that could help them make profitable trades.

New Profit Now report highlights the 24/7 accessibility of the forex market and showcases Manifest FX learning and trading packages that include access to a forex and crypto academy. currency, harmonics scanner and live trading sessions with Master Traders. The main sessions cover Crypto Trading, Wealth Generation Strategies, Binary Options Trading, Swing Trading, Harmonics, Indices, and Precious Metals.

Through the Manifest FX forex platform, Profit Now offers participants access to AI trading robots that support trading decisions. Traders can choose to generate income by focusing on trading and earning rewards through a well structured referral program. Participants receive three free trading strategies when they open their account and can reinvest their commissions in the market.

According to a spokesperson for Profit Now, “Sign up for free to access inside where you can see everything going on inside our platform. Start trading yourself, log in to AI bot picks, or log in to our live trading training – the options are endless.

For more information visit http://bit.ly/2NF8EWP

Contact information:
Name: sadiq wazeer
E-mail: Send an email
Organization: wazdigital youtube channel
Address: suite 663, 585 Little Collins Street, Melbourne, VIC 3000, Australia
Website: http://bit.ly/2NF8EWP

Version number: 89045203

comtex tracking

COMTEX_393233652 / 2773 / 2021-09-13T04: 00: 31


Source link

read more
Market trading

Stock Exchange Trading: Stock Trading Is Similar To Being A Professional Athlete: 5 Ways To Control Your Emotions

You can be the most sophisticated trader, but without the right mindset your trading results will be inconsistent. To explain this, let us take the example of the field of sport. Performance psychologists help athletes perform at peak levels, while focusing on all aspects of their lives, including personal challenges, eating habits, and post-injury rehabilitation. They closely assess the impact of psychological conditions on athletic performance and the impact of sport on the mind of an athlete.

Trading in the stock market is similar to being a professional athlete. Both are judged on their daily performance. You need to cultivate habits to develop your emotional resilience.

This means that wild fluctuations in the stock market shouldn’t make you jittery or nervous. The ups and downs of the stock market are an integral part of the investment journey. You need courage and agility to stay prepared for any directional movement.

It’s easier said than done. Our brains are hardwired to let emotions take control. When we see red piling up in our positions, the “fight or flight” instinct kicks in. This causes gut reactions, which can be costly and prevent us from achieving our goals. So how do you avoid emotions while trading? Here is a preview.

Treat it like a business

I always stress that investors should see themselves as independent entrepreneurs. It requires a radical change of perspective. If you think of investing as a hobby, you won’t be able to quantify your goals. This could make it difficult to achieve lasting progress.

Write a business plan, list your goals, determine your risk profile and the amount you plan to invest. What will be the source of this capital? How much can you afford to lose? Describing these things on a daily basis will keep fear and greed in check. When you treat trading like a business, you are also less likely to make decisions out of boredom.

Recognize emotions
You should consider putting some time between the momentum to act and your investment decision. This is true whether you want to buy the downside or sell during a rise. Various studies have indicated that breathing exercises can help you stay calm, productive, and rational while dealing with stressful situations. Research further proves that different forms of breathing are associated with different emotions, so the way you breathe can impact how you feel. Changing the rhythm of your breathing can signal relaxation to your brain. This will give you time to reassess your approach to investing.

Market research is crucial
Emotions sometimes creep in when you don’t know what to do in a particular market situation. This is why you need to stay up to date on the fundamentals of the market. Focusing on companies with great quarterly results may not give you the big picture. Understand the underlying macroeconomic factors, both domestic and global. Be aware of all geopolitical developments that can trigger market volatility.

Look for new educational resources, such as analysts’ opinions on undervalued stocks, price predictions, and economic analysis. Improve your research with a new newsletter every now and then. You may find something that fundamentally changes the way you invest, or something that you don’t agree with.

Either way, when you make a concentrated effort to always learn something new about investing or the markets, you will have a new perspective and a new confidence. It makes you a more educated trader and breaks the cycle of emotional trading.

Always remember the past
When the market plunges the next time around, remember it’s not the first and it won’t be the last. Globally, the stock markets have overcome so many obstacles over the decades. For example, Indian stock markets experienced the largest one-day decline in absolute terms on March 12, 2020, as the WHO declared Covid-19 a global pandemic. The benchmark Sensex was down 8.2% to trade at 32,778 points, and Nifty 50 was down 8.3% to trade at 9,590 points. But as of March 15, 2021, Nifty 50 was trading at 14,772.62 points, more than pre-pandemic levels.

The stock market has recovered and reached new highs after each global crisis. Also, keep in mind that even if the stock market goes down, your overall portfolio might not go down. If you have a well-diversified investment portfolio, comprising stocks, bonds, and other assets, your panic can subside considerably.

Ignore background noise

You may have read various buzzwords and phrases in articles or books before. Stick to your trading plan. Have patience and discipline. Be in the area.

They are all logical, perhaps even encouraging. However, unless your mind is at home at home and you are in good mental and physical health, you cannot follow these steps. So, consider a few non-market tips to get your head in, like getting regular exercise, doing something creative in your spare time, reading a book, and more. These things can keep your mind from focusing on the markets.

Finally, accept that mistakes are made by even the best business minds. How to react to these mistakes differentiates a good trader from an excellent one. Learn from them and keep looking ahead.

(The author is Managing Director and CEO, HDFC Securities)


Source link

read more
Trade platform

On the way, a fungible commerce platform for crypto users – the New Indian Express

Express news service

MUMBAI: WazirX, the largest cryptocurrency exchange in the country, both in number of users and in value of transactions, strives to set up separate platforms for fungible art trading and music, just days after the government announced it would create broad classifications and categories for cryptos. Nischal Shetty, Founder and CEO of WazirX, says “cryptocurrency is here to stay, now more than ever.”

He expects there to be no overarching law or regulation and that there will be separate frameworks for different parts of the ecosystem. Shetty adds that if for the past 2-3 years it has been crypto trading and the focus has been mostly on traders and investments, then in the last year non-fungible tokens or NFTs have shown. that they should not only be about investments, but also on a platform to trade alternative assets. “We see ourselves as a window to the crypto world,” he said.

With eight million users, WazirX has recorded transaction volumes of around $ 21 billion in the past nine months. In June, WazirX launched a marketplace for artists and designers. They have selected 150 artists for whom they will create an NFT exchange. The Art Forum went live on June 1 and in July added a category for music and electronic dance music performers. Vishakha Singh, vice president of WazirX NFT market, says that in the market people can buy and sell art or digital creations.

Banks, financial institutions, and valuable stores of value like gold and silver have taken centuries to gain confidence and credibility as a store of value, so what makes suppliers of crypto and currency exchanges think they can achieve the same thing in a matter of years or months? “The first hurdle would be to educate the masses, which is happening,” Singh said, adding that at present this is a starting point and cannot be compared to polite institutions. However, she maintains that the blockchain is transparent.

Crypto has been around for a decade now, and the way NFT exchanges are run could mean that a writer’s book cover or a first draft of a hit song by a singer can become tradable. How does trading on an NFT platform work? Singh explains that if a person sees the first edition of a Spiderman comic land on an exchange as a one-of-a-kind item with an NFT, they can purchase it through a wallet used to purchase the WazirX currency which in turn is used to buy the NFT. This NFT can then be used to trade, buy or sell other items in this ecosystem.


Source link

read more
Financial market

Dubai financial market transactions soar after commission cancellation

The number of transactions on the Dubai Financial Market (DFM) jumped more than 160%, a day after the exchange waived the minimum trading commission.

The total number of transactions on Wednesday reached 6,739 transactions, the highest number of daily transactions since the start of this year, DFM said in a statement. This compares to the 2,579 transactions on Tuesday.

The number of transactions today is also up 146% from the Year’s Cumulative Average (YTD) of 2,740.

The general DFM index had gained 13.6 points (0.50 percent) to 2,916.60 points, at the close of trade, bringing its YTD gains to 17 percent.

The DFM’s decision to forgo the minimum trading commission is part of ongoing efforts to boost retailer participation in the market. The Abu Dhabi Securities Exchange (ADX) has also removed minimum commission charges for listed securities effective today.

(Written by Brinda Darasha; edited by Daniel Luiz)

[email protected]

Disclaimer: This article is provided for informational purposes only. The Content does not provide any tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Read our full disclaimer here.

© ZAWYA 2021


Source link

read more
Trade platform

IBM finds that ASX outage is due to business platform not ready for go live

The Australian Securities Exchange (ASX) experienced “software glitches” when it went live with the refresh of its trading stock platform in November last year, forcing the exchange to suspend trading. trades.

At the time, the exchange said its technology provider Nasdaq, as well as independent specialist clients and third parties, performed extensive testing for more than a year on the ASX Trade system, including four dress rehearsals, in view of its sending into nature.

The technology used, he said, was the latest generation of a trading system developed by the Nasdaq and used around the world.

Following the blackout, the Reserve Bank of Australia (RBA) and the Australian Securities and Investments Commission (ASIC) requested an independent review, and ASX saw fit to turn this responsibility over to IBM.

Never Forget: IBM Blasted By ABS For Not Handling The DDoS Census

On Monday, IBM made 17 recommendations to ASX and discovered a number of shortcomings in the project, including noting that the business platform was not ready for commissioning.

“Factors that suggested the ASX Trade system was not ready to go into service given ASX’s almost zero appetite for downtime. This was the case even though the formal implementation readiness processes were completed and verified by multiple parties with no objection to go live, ”IBM found.

“There were gaps in the rigor applied to the risk management process and expected project delivery issues for a project of this nature, and the risk and issue management, project compliance with ASX practices, requirements of the project and the test strategy / planning of the project have not been accepted industry practice.

“It was not reasonable to expect that the test plan used would satisfy ASX’s almost zero appetite for downtime.”

According to Big Blue, seven factors suggested the platform was not ready for go live, including historical software product quality metrics, additional testing needs noted, quantity of open defects, gaps in end-to-end test coverage. , the proximity of the freeze windows to year-end changes for participants, the risk probability ratings, and the lack of evidence of challenges to the risk rating or commissioning.

“Last November’s market blackout did not meet ASX’s high standards,” ASX CEO Dominic Stevens said on Monday. “We thought the software was ready for commissioning, as was our technology provider Nasdaq. There were clearly some issues, which was particularly disappointing given the significant progress we’ve made on resilience in recent years. “

IBM also concluded that the project could have benefited from additional and independent review.

He determined that there were gaps in the rigor applied to the risk management process and issues with project delivery, such as opportunities to identify additional missed risks, differences in delivery risk models project and enterprise delivery risk processes, with the project not receiving risk resources with greater technical project experience from which it could have benefited and governance being transferred to a group that had a wide range of responsibilities.

“The change diluted the focus on the project,” IBM said.

The review did find some bright spots, however, with IBM claiming that the ASX met or exceeded industry leading practices in 58 of 75 of the capabilities assessed.

“We acknowledge the findings of the report. It is fortunate that the ASX has met or exceeded industry leading practices in most areas. But the report highlights some important areas for improvement and we will respond to any of its recommendations.” , Stevens added.

“ASX is well advanced in developing a detailed response plan to be executed over the next 12-18 months, and we will be asking the independent expert to review our actions to respond to his recommendations. Our execution of this work program will be under the supervision of ASIC and RBA. “

IBM said developing the business case for the project and managing project change was beyond accepted practices; that the project had and had access to sufficient financial, time, human and technological resources at all stages of implementation to achieve its objectives; that communications with key stakeholders were appropriately managed by the ASX; and that the incident management actions taken by the exchange were appropriate.

In 2018, the exchange was asked to strengthen its risk management practices following an “unprecedented” hardware failure in September 2016 which led to the crash of its stock market. According to ASIC, the actions taken by ASX in the 2020 incident were appropriate and reflected lessons learned from the 2016 incident.

“ASX takes the resilience and reliability of its markets very seriously. That is why we have immediately contacted our regulators to order this external review and we will act on all of its recommendations. It’s also why we’ve already taken steps to change our project delivery practices, “Stevens continued.

“The changes we have made to our management structure are aligned with these goals.

“Driving technological change is difficult and creates a risk of transition. No market will function without incidents or outages from time to time. Nevertheless, all the failures are regrettable. “

Regulators expect ASX to apply information from IBM’s findings across the exchange to ensure that existing and proposed projects, including the CHESS replacement program, are managed and implemented. appropriately.

ASIC is also undertaking a separate investigation into the ASX Trade outage to determine whether ASX has fulfilled its obligations under its Australian Market License.

MORE FROM THE EXCHANGE


Source link

read more
Market trading

Create a market trading bot using Open AI Gym Anytrading


The main focus of AI is the development of computational functions associated with human intelligence, such as reasoning, learning and problem solving, which can be particularly useful for markets. Trading and investing in the market only requires a series of reasoning and calculations, based on data and solving the problem of predicting the future direction of current stock prices. Fundamental and manual technical analysis is going out of fashion these days. The application of machine learning technology in trading or stock market is used so that the system automatically learns the complexity of the trade and improves its algorithms to assist with the best trading gift. In the last decade, there seemed to be a use of the wallet of traders, so that everyone could earn their profits. But, with the help of AI, one can perfectly analyze the underlying data points presented very quickly and accurately.

Using such data points, we can analyze current market trends and train high speed patterns, which are the two necessary elements generally used for smart trading. Using headlines from news channels and news sources, reviews from social media, and comments on other platforms, AI can analyze the action by performing sentiment analysis on that data. Machine learning usually stores the results and metrics that gave those results and can better analyze the stock market.

Data often helps to find a better solution, especially in probability-based and sentiment-based activities, such as stock trading. But to this day, financial engineers also believe that it is impossible for a machine, left to itself, to beat the stock market. With the rise of technology, incredibly powerful computers can process almost countless data points in a matter of minutes. This means that they are also very capable of detecting historical and replicating patterns for intelligent trading in the market which are often hidden from ordinary human investors. We humans are simply not able to process such data or see these patterns at the same rate as a technologically capable machine. AI can evaluate and analyze thousands of stocks in a matter of moments, and so this technology adds even more speed to trading. Today, every millisecond counts, and with AI as a means of automated trading, it’s a wonder. AI is already learning to continually improve on its own mistakes. It deploys automated trading assistant robots and is constantly working to improve its performance by refining programming and entering huge masses of new data.

What is Open AI Gym Anytrading?

AnyTrading is an Open Source collection of OpenAI Gym environments for reinforcement learning based trading algorithms. The trading algorithms are mainly implemented on the basis of two of the biggest markets present: FOREX and Stock. AnyTrading aims to provide Gym environments to improve and facilitate the process of developing and testing reinforcement learning based algorithms in the field of market trading. This is achieved by implementing it on three Gym environments: TradingEnv, ForexEnv and StocksEnv. AnyTrading can help you learn about stock market trends and perform powerful analysis, providing in-depth insights for data-driven decisions.

Getting started with the code

In this article, we will implement a reinforcement learning based market trading model, in which we will create a trading environment using OpenAI Gym AnyTrading. We will use historical GME price data, then train and evaluate our model using reinforcement learning agents and the gymnastics environment. The following code is partly inspired by a video tutorial on Gym Anytrading, the link of which can be found here.

Library installation

The first essential step would be to install the necessary library. To do this, you can run the following lines of code,

! pip install tensorflow-gpu == 1.15.0 tensorflow == 1.15.0 stable-baselines gym-anytrading gym

Stable-Baselines will provide us with the reinforcement learning algorithm and Gym Anytrading will provide us with our trading environment

Import dependencies

Now let’s install the required dependencies to create a basic framework for our model, and we’ll use the A2C reinforcement learning algorithm to build our market trading model.

# Importing Dependencies
import gym
import gym_anytrading
# Stable baselines - rl stuff
from stable_baselines.common.vec_env import DummyVecEnv
from stable_baselines import A2C
# Processing libraries
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
Processing of our dataset

Now, with our pipeline setup, let’s load our GME Market data. You can download the dataset using the link here. You can also use other relevant data sets such as Bitcoin data to run this model.

#loading our dataset
df = pd.read_csv('/content/gmedata.csv')
#viewing first 5 columns
df.head()
#converting Date Column to DateTime Type
df['Date'] = pd.to_datetime(df['Date'])
df.dtypes

Go out :

Date      datetime64[ns]
Open             float64
High             float64
Low              float64
Close            float64
Volume            object
dtype: object

#setting the column as index
df.set_index('Date', inplace=True)
df.head()

We will now transmit the data and create our gym environment for our agent to train later.

See also
How Fujitsu uses artificial intelligence
#passing the data and creating our environment
env = gym.make('stocks-v0', df=df, frame_bound=(5,100), window_size=5)

Setting the window size parameter will specify how many previous price references our trading bot will have so that it can decide to place a trade.

Test our environment

Now with our model setup, let’s test our basic environment and deploy our reinforcement learning agent.

#running the test environment
state = env.reset()
while True: 
    action = env.action_space.sample()
    n_state, reward, done, info = env.step(action)
    if done: 
        print("info", info)
        break
        
plt.figure(figsize=(15,6))
plt.cla()
env.render_all()
plt.show()

As we can see, our agent RL bought and sold stocks at random. Our profit margin appears to be greater than 1, so we can determine that our bot has made us profit from the trades it has made. But these were random steps, now let’s properly train our model to get better trades.

Shaping our environment

Configure our environment to train our reinforcement learning agent,

#setting up our environment for training 
env_maker = lambda: gym.make('stocks-v0', df=df, frame_bound=(5,100), window_size=5)
env = DummyVecEnv([env_maker])

#Applying the Trading RL Algorithm
model = A2C('MlpLstmPolicy', env, verbose=1) 
 
#setting the learning timesteps
model.learn(total_timesteps=1000)
---------------------------------
| explained_variance | 0.0016   |
| fps                | 3        |
| nupdates           | 1        |
| policy_entropy     | 0.693    |
| total_timesteps    | 5        |
| value_loss         | 111      |
---------------------------------
---------------------------------
| explained_variance | -2.6e-05 |
| fps                | 182      |
| nupdates           | 100      |
| policy_entropy     | 0.693    |
| total_timesteps    | 500      |
| value_loss         | 2.2e+04  |
---------------------------------
---------------------------------
| explained_variance | 0.0274   |
| fps                | 244      |
| nupdates           | 200      |
| policy_entropy     | 0.693    |
| total_timesteps    | 1000     |
| value_loss         | 0.0663   |
#Setting up the Agent Environment
env = gym.make('stocks-v0', df=df, frame_bound=(90,110), window_size=5)
obs = env.reset()
while True: 
    obs = obs[np.newaxis, ...]
    action, _states = model.predict(obs)
    obs, rewards, done, info = env.step(action)
    if done:
        print("info", info)
        break


#Plotting our Model for Trained Trades
plt.figure(figsize=(15,6))
plt.cla()
env.render_all()
plt.show()

As we can see here, our skilled agent is now doing much better trades and a lot less random trades, giving us profit at the same time with a lot more awareness of when to buy and when to sell the stock.

End Notes

In this article, we have tried to understand how artificial intelligence can be applied to market trading to help leverage the art of buying and selling. We have also created a reinforcement learning model whereby our skilled agent can buy and sell stocks, reserving us profits simultaneously. The following implementation above can be found as a Colab notebook, accessible using the link here.

Good learning!

The references


Join our Discord server. Be part of an engaging online community. Join here.


Subscribe to our newsletter

Receive the latest updates and relevant offers by sharing your email.


Source link

read more
Financial market

Political and economic data – main factors of financial market volatility

Chris Harmse

In a week of numerous political changes in South Africa, along with expectations of economic data and falling precious metal prices, stock prices on the JSE have moved a lot and remained volatile, while the rand s ‘is strongly depreciated on Friday.

The two main factors were Tito Mboweni’s resignation as finance minister, and the appointment of new finance minister, Enoch Godongwana, in his place and the release of the latest US employment data on Friday.

Godongwana’s appointment as the new finance minister will draw some criticism, given his experience as deputy economic development minister in 2012 and his resignation at the time after allegations of fraud. His resignation was due to outrage in government circles over his involvement in a company that allegedly defrauded workers at a R100 million garment factory out of their pension fund money. The financial markets are therefore to some extent skeptical of his appointment.

The rand lost about 40 cents against the dollar in the 24 hours after his appointment and traded late Friday night around R14.63 to the dollar. Against the pound, the currency traded on Friday alone, 21 cents lower on R20.29 and lost 25c against the euro, to trade at R17.21. This after the currency saw a strong rally in the first four days of the week, with the rand trading against the dollar at a time as strong as Rand 14.29.

Godongwana is a leading figure in the ANC on economic policy. He has headed the ANC’s Economic Transformation Committee for over a decade and served as Chairman of the Development Bank of Southern Africa.

Godongwana is seen as the one who frequently tries to persuade his colleagues to make pragmatic and market-friendly decisions. Therefore, we have to believe that the new Minister of Finance will not play partisan politics by favoring civil servants with unnecessary salary increases, the nationalization of the SA Reserve Bank and other big bailouts for state-owned enterprises.

Time will tell and financial markets and domestic and global investors will watch it closely. Dare we say it won’t abuse the gold super-cycle tax revenues from booming mining and agricultural exports.

In financial markets, gold and platinum prices fell during the week over fears that the Delta variant of the Covid-19 virus will continue to haunt countries in Asia and Europe. The price of gold has fallen from over $ 60 (R878) to $ 1,762 and the price of platinum from $ 64 to $ 975 an ounce. Instead, investors turned to the dollar and US stocks on Wall Street. This positive sentiment towards the United States strengthened on Friday after the release of better-than-expected employment data. The US unemployment rate was also lower than expected.

Last week, on the JSE, the all-stock index traded down 0.4%, while the Industrial 25 index lost 1.4%, following a massive sell-off by heavyweights Naspers, as well as stronger rand, most of the week.

Financials gained 5.1%, mainly due to the initial currency appreciation and trade in listed real estate up 2.6%. The Resources 10 index lost 1.9%. In the capital markets, investors played the card of caution and sold part of their bond holdings. The R186 short-term bond fell 0.5%, with the rate falling from 7.34% to 7.38%.

Next week, investors and analysts will focus on releasing South Africa’s manufacturing and mining production data for June.

Sacci will also release its latest Business Confidence Index.

In global markets, all attention will be on the announcement of the latest US inflation rate for July, as well as weekly unemployment data on Thursday.

Germany will release its trade balance and the UK will release its preliminary gross domestic product growth figure for the second quarter of 2012 and its trade balance for June.

Chris Harmse is the economist at CH Economics.

ONLINE ACTIVITY REPORT


Source link

read more
Market trading

Business News | Stock market and stock market news














Money control
PRO Money Control

PRO Money Control













Morningstar India’s National Fund Flows Report for Q1 FY22 provides an overview of estimated flows, asset trends and performance of equity and debt funds.

These mutual funds got the maximum flow during the June quarter.  Do you own any of them?


  • कार्लाइल डील में रुकावट के कारण 35,000 करोड़ रुपये का कर्ज लेगी GNP हाउसिंग फाइनेंस

  • ESB नया प्राइस बैंड रूल, इन 31 स्मॉलकैप शेयरों पर होगा, देखें पूरी लिस्ट

  • Winners and losers: आखिरी घंटे में निचले स्तर से सुधरकर बंद हुआ बाजार, इन शेयरों में रही सबसे ज्यादा हलचल

  • अब,,, कैसे?

  • FY22 Winners: 10 ऐसे स्टॉक जिनमें पिछले 4 महीनें में दिखी कम से कम 15% की बढ़त, क्या हैं आपके पास

  • Hydroelectric Project की पूरी हिस्सेदारी Renew Power को बेचेगी L&T

  • After the bell: बंद हुआ बाजार, अब गुरुवार को क्या में निवेश रणनीति

  • झुनझुनवाला की लो कॉस्ट एयरलाइन बोइंग से 8.5 अरब डॉलर में खरीद सकती है 70 प्लेन

  • झुनझुनवाला के पोर्टफोलियो में शामिल फार्मा स्टॉक पहली तिमाही के रिजल्ट के बाद 7% गिरा

  • CII annual session: ‘सरकार राष्ट्र हित में बड़े से बड़ा रिस्क उठाने को तैयार’, पढ़िए PM मोदी की बड़ी बातें

  • Independence Day: 15 अगस्त को अमेरिका के Times Square पर फहराया जाएगा अब तक का सबसे बड़ा तिरंगा

  • आप भी ज्यादा उतार-चढ़ाव वाले शेयरों पर फोकस करते हैं तो इन 10 हाई मोमेंटम शेयरों पर करें गौर

  • Midcap और small cap स्टॉक में हालिया करेक्शन के बाद फिर लौट सकती है तेजी: एक्सपर्ट्स

  • 7th salary commission: सरकारी बैंक कर्मचारियों की इस महीने बढ़ेगी सैलरी, 2 फीसदी बढ़ा DA

  • दिल्ली के बच्चों को मिलेगी इंटरनेशनल लेवल की शिक्षा, केजरीवाल सरकार ने IB बोर्ड के साथ किया करार



Last name Price Change % variation
Sbi 428.05 1.60 0.38
Indiabulls Hsg 246.95 -5.90 -2.33
Ntpc 116.95 2.60 2.27
Nhpc 26.00 0.30 1.17

Forum

Forum

YOUR OPINION

Which of these young people will score the most points in this ipl?

Which of these young people will score the most points in this ipl?

FEEDBACK

Thank you for voting


Snapshot of the IPO

Equity Type Issue price Size of the problem Lot size Open problem Problem Close
View profile Initial Public Offering 1 2937.36 – 2998. 9 09-08 11-08
Nuvoco Vistas View profile Initial Public Offering 560 5000 – 5089.29 26 09-08 11-08
Aptus value See profile Initial Public Offering 346 2734.84 – 2790. 42 10-08 12-08
Chemplast See profile Initial Public Offering 530 3850 – 3929.91 27 10-08 12-08
Equity Filing date with Sebi

Popular Vehicles and Services Limited (Popular.pdf)

05-Aug

Adani Wilmar Limited (Adani.pdf)

03-Aug

FSN E-Commerce Ventures Limited (FSN.pdf)

03-Aug

PB Fintech Limited – DRHP (PB.pdf)

02-Aug
Equity Issue price Registration date Open announcement Announcement Close % quotation gains CMP Current earnings%
Rolex rings 900 09-08 1249.00 1166.55 29.62 1,125.80 25.09
Glenmark’s life 720 06-08 752.00 748.20 3.92 748.00 3.89
Tatva Chintan 1083 07-29 2111.80 2310.25 113.32 2,009.00 85.50
Zomato 76 07-23 115.00 125.85 65.59 135.80 78.68
Scheme Fund Category Info Purchase order Opening date Closing date
No NFO details available.
Equity Type Issue price Size of the problem Lot size Subscription Open problem Problem Close

Gretex Corporat See profile

SME IPO 170 5.13 0 07-27 07-30

Glenmark Life See profile

Initial Public Offering 695 1497.85 – 1513. 0 2.78 07-27 07-29

People Network See profile

SME IPO 76 13.01 – 13.7 0 07-28 02-08

Rex Pipes See profile

SME IPO 26 6.24 0 07-28 02-08

chat box

Jain of Balwant
Jain of Balwant

Tax and investment expert,

August 12 – 2:00 p.m.

How to save tax on the sale of a house?



chat box

Jain of Balwant
Jain of Balwant

Tax and investment expert

August 12 – 2:00 p.m.

How to save tax on the sale of a house?

Company action





Company Report VF Ex-Rights
Details of rights not present at the moment.


Company Name Last prize Change Market capitalization Net sales Net profit Assets






country = India page generated = 2021-08-11 19:57:13


Source link

read more
Financial market

Fiscal consolidation commitment keeps investors in financial markets

Investors’ position in the financial market remains unchanged

The position of investors in the financial market remains unchanged, as the government, through the mid-year budget review, has committed to return to fiscal consolidation. Investors, in their anticipation, assessed the economy’s worst-case scenario. However, the result for the first half of 2021 suggests a favorable budgetary situation, in the middle of the third wave of the coronavirus pandemic.

Provisional fiscal data from the 2021 Mid-Fiscal Policy Review revealed the government’s commitment to fiscal consolidation, as data from January to June 2021 show an overall budget deficit of $ 22.32 billion. GH ¢, or 5.1% of GDP, compared to a programmed target. of GH ¢ 22.73 billion, 5.2% of GDP.

Databank Research senior analyst Courage Kingsley Martey said in an interview with the B&FT that this indicates investors prefer to stay overweight Ghana Government Bonds (GHGBs) given that the market’s pre-budget stance is already assessed in a worse tax situation. results.

“Investors were not shaken by the mid-year budget review, as we saw no transactions or adverse reactions to the mid-year budget review. In fact, it appears that the general expectation was the worst-case scenario where the budget result for the first half of the year would be an unfavorable result, ”said Martey.

He added: “We have seen some large investors prefer to remain overweight Ghana Government Bonds (GHGBs) as the market’s pre-budget stance was already predicting a worse budget outcome, which did not exactly materialize from the start. ‘review presented. “

Republic Investment Managing Director Madeline Nettey also shared the same point of view in an interview with B&FT, stating; in general, there were not many changes before and after the mid-year budget reading, as the budget did not call for additional spending.

“I want to believe in part that this budget does not call for additional spending. Even more, we have seen that inflation is moving around the same parameters. So that in itself also did not push any reaction in any direction, nor to upward or downward.

“More often than not, investors react immediately to changes in the monetary policy rate. However, we do not anticipate any change in the TPM given the position and outlook for headline inflation. This should prevent the market from making any major changes, all of them. things being equal, ”she said.

Although the government raised the primary deficit target from 1.3 percent in the original budget to 2 percent in the revised budget, financing or borrowing needs have remained unchanged from the original plans of late.

Commenting on this, Mr Martey said: “This tells you that the government is signaling a commitment to fiscal consolidation despite the risk of a revenue shortfall. interest expense in order to leave borrowing requirements unchanged.

Finance Minister Ken Ofori Atta, in his presentation to Parliament, said the government remains fully committed to meeting the budget deficit target of 9.5% of gross domestic product (GDP) for this year, aimed at returning to the Fiscal Responsibility Act (FRA), by 2024.

During the period, the government embarked on a frontloading of its financing requirement, signaling a much lower financing requirement in the second half of the year.

“The market rightly saw this signal, so trading continued without major budget disruption. the second half of the year to partially mitigate any shortfall, ”said Mr. Martey.

The stock of public debt, as a percentage of GDP, rose from 76.1% at end-December 2020 to 77.1% of GDP at end-June 2021, including bailouts in the financial and energy sectors.


Source link

read more
1 2 3
Page 1 of 3