Economy
All You Need To Know About Algorithmic Trading
There are now more options to improve or expand existing apps due to the rapid advancement of computer science and communication technology. The current developments have opened up fresh trading avenues.
Trades are placed using a computer program that follows a predetermined set of instructions (an algorithm). This kind of trading is also known as automated, black-box trading, or algo-trading. Profits may be generated at a pace and frequency inconceivable for a human trader to achieve in principle.
Just because it’s computer-driven doesn’t imply no one is involved. As a result of automated trading, human involvement has been shifted to a more back-office position, where new alpha-seeking techniques are developed on a regular basis.
High-frequency trading (HFT) is the most common kind of algo-trading today, and it relies on preprogrammed instructions to place a large number of orders quickly across a variety of markets and decision factors.
In this article, we’ll provide you with information on what are the main things that every trader should know about algorithmic trading.
How does algo trading work?
Pre-programmed instruction is used in algorithmic trading to execute transactions. Input characteristics like price, time, volume, and more are taken into consideration by these laptop applications. In order to make use of the processing power and speed of modern computers, several types of systems are employed. Automated trading is primarily a rapid, reliable, and accurate technique of placing orders. However, not everyone can apply this strategy, and some people may have doubts about its efficacy.
Because the decision to buy or sell is based only on the composite programs, algorithmic trading is a generally recognized method. There is no human intervention in making the transactions, which eliminates the influence of emotions. There are several ways to learn more about the way algorithmic trading works. One of the most common ways for investors is to visit an education section of Elite Currensea, where they can get more information about algo trading and its benefits. In addition to that, the section allows traders to generate trading strategies based on AI. Computers are better at completing tasks quickly than people are. Depending on the specifications, it can execute and monitor a variety of stocks at the same time.
There are no trades left unattended, thus it is quite skilled and resourceful. When traders take a break, the robot takes care of online share trading orders.
As a primary benefit, algorithmic trading removes human emotions from the trading process. Trades are carried out in accordance with a predetermined set of guidelines. Human trading, as opposed to algorithmic trading, is more susceptible to illogical trading choices due to human emotions. Thus, algo-trading often pushes traders to avoid taking on more risk than they can manage in order to prevent feelings of uncertainty.
For those interested in learning about algorithmic trading, the online education market has grown rapidly in the last several years. Getting into this field is now feasible without having to go through the lengthy academic path (8-10 years).
What are the main pros of algorithmic trading?
Individual involvement is minimal when it comes to algorithmic trading. Orders made on the basis of various technical indications are automatically distributed using digital means. Simple data access is all that is required for these gadgets. By not having to worry about losing money, they are safer than human dealers. Another advantage of these systems is that they may be quite profitable. However, there are several difficulties to overcome. Basic computer abilities are required for success in algorithmic trading.
Algorithmic trading’s performance is heavily reliant on precision and timeliness. The margin of error in algo trading is often extremely large if humans are involved. It’s possible for a computer to conduct transactions under a set of instructions, but this isn’t the case for algo-trading banks. As a result, strategic thinking is emphasized in order to help businesses make better, more accurate trade choices.
Moreover, there is no opportunity for traders to be influenced by their emotions since the tactics are pre-formulated. This means that once the pre-specified goals are satisfied, the deal is automatically performed, and the trader is left with no choice except to accept it as is. Over- and under-trading are kept in check by algo trading. As a result, there is no tolerance for error or divergence from the original trading plan.
A trader’s job is to identify the weak points in their trading system and devise workarounds as early as possible in order to prevent more losses. Trading algorithms allow traders to back-test their trades using historical data and compare them to the current market conditions. Using this approach, traders may determine for certain if their deals would have turned out identically.
Trading algorithms used in algo trading execute deals without human intervention. In response to market changes, the algorithm creates orders as soon as they are met. The trading process relies heavily on the quickness of entry and exit. Even a delay of a few seconds might result in losses. Better entry and exit speeds allow traders to catch market moves at their precise moment of entrance.
With the advent of automated trading, traders now have the chance to experiment with a wider range of trading platforms. Individuals and businesses may effectively and quickly exchange huge volumes of shares. Market participants may thus acquire a large number of shares and then sell them nearly immediately for a significant profit.
Algorithms and computers are used in algo trading. Because of this, executing many trades and strategies simultaneously becomes quite simple. Humans just could not have accomplished this.
By Adedapo Adesanya
The NASD Over-the-Counter (OTC) Securities Exchange rose by 0.21 per cent on Tuesday, April 15, helped by three stocks on the trading platform.
During the session, the NASD Unlisted Security Index (NSI) jumped by 6.73 points to 3,271.02 points from the previous session’s 3,264.29 points and the market capitalisation increased by N3.94 billion to close at N1.915 trillion versus the N1.911 trillion it ended on Monday.
Trading data showed that there was a 68.7 per cent rise in the volume of securities transacted in the session as 736,215 units were quoted compared to the 436,357 units traded in the previous trading day, the value of transactions jumped by 20.5 per cent to N12.2 million from N10.1 million, while the number of deals fell by 49 per cent to 26 deals from 51 deals.
Yesterday, Newrest Asl Plc gained N3.45 to close at N37.97 per share compared with the preceding day’s N34.52 per share, FrieslandCampina Wamco Nigeria Plc went up by N1.82 to close at N37.45 per unit versus Monday’s price of N35.63 per unit, and Mass Telecom Innovation Plc expanded by 1 Kobo to trade at 41 Kobo per share against the 40 Kobo per share it ended a day earlier.
However, Central Securities Clearing System (CSCS) Plc lost 20 Kobo to finish at N20.70 per unit compared with the previous closing value of N20.90 per unit, and Geo-Fluids Plc dropped 20 Kobo to settle at N1.80 per share versus the previous day’s N2.00 per share.
Impresit Bakolori Plc remained the most active stock by volume (year-to-date) with 533.9 million units worth N520.9 million, followed by Okitipupa Plc with 153.6 million units sold for N4.9 billion, and Industrial and General Insurance (IGI) Plc with 71.2 million units worth N24.2 million.
Okitipupa Plc remained the most active stock by value (year-to-date) with 153.6 million sold for N4.9 billion, trailed by FrieslandCampina Wamco Nigeria Plc with 14.7 million units valued at N568.1 million, and Impresit Bakolori Plc with 533.9 million units worth N520.9 million.
By Adedapo Adesanya
The Naira appreciated against the US Dollar by 0.24 per cent or N3.85 at the Nigerian Autonomous Foreign Exchange Market (NAFEX) on Tuesday, April 15, closing at N1,601.40/$1 compared with the previous day’s N1,605.25/$1.
However, according to data from the Central Bank of Nigeria (CBN), the Naira depreciated against the Pound Sterling in the official market yesterday by N59.23 to sell for N2,115.26/£1 compared with Monday’s closing price of N2,056.03/£1 and tumbled against the Euro by N38.75 to trade at N1,808.89/€1, in contrast to the previous session’s N1,770.14/€1.
As for the black market, the Nigerian Naira maintained stability against the Dollar during the trading session at N1,615/$1.
The Nigerian currency closed mixed on Tuesday as Nigeria’s inflation data edged up to 24.23 per cent in March, according to the National Bureau of Statistics (NBS) on Tuesday.
It was the first time the Consumer Price Index (CPI) has risen since it was rebased in January. The new rate indicates an upward movement of 1.05 per cent from the 23.18 per cent reported in February 2025, signalling a return to levels (24.48 per cent) recorded in the beginning of the year after the CPI rebasing.
In the cryptocurrency market, there were major negative outcome as Nvidia, which plays a crucial role in mining cryptocurrencies, received a US ban restricting its H20 chip sales to China.
This adds to fears triggered by President Donald Trump’s trade war with China and other trading partners, leading to profit-taking.
Cardano (ADA) lost 5.5 per cent to trade at $0.6055, Solana (SOL) slumped by 4.2 per cent to $125.44, Ethereum (ETH) slid by 4.0 per cent to $1,570.96, and Ripple (XRP) dropped 3.9 per cent to $2.05.
In addition, Dogecoin (DOGE) depreciated by 3.8 per cent to $0.1535, Litecoin (LTC) went down by 2.7 per cent to $75.72, Bitcoin (BTC) fell by 2.4 per cent to $83,405.30, and Binance Coin (BNB) shrank by 1.3 per cent to $580.40, while the US Dollar Tether (USDT) and the US Dollar Coin (USDC) were flat at $1.00 each.
By Dipo Olowookere
The Nigerian Exchange (NGX) Limited bounced back to the green territory on Tuesday with a 0.03 per cent growth amid a bearish market sentiment.
Data showed that the bourse finished with 24 price gainers and 29 price losers, representing a negative market breadth index and weak investor sentiment.
This was due to the persistent cautious trading by the market participants because of the global trade war between the United States and China.
Business Post reports that the banking space was down yesterday by 0.11 per cent as a result of profit-taking activities by investors, though this did not affect the general outcome of Customs Street because of the gains recorded by the others.
The consumer goods index appreciated by 0.72 per cent, and the insurance counter improved by 0.15 per cent, while the energy, industrial goods and commodity sectors closed flat.
At the close of business, the All-Share Index (ASI) chalked up 30.40 points to settle at 104,560.02 points compared with the previous day’s 104,529.62 points and the market capitalisation grew by N19 billion to N65.704 trillion from N65.685 trillion.
Abbey Mortgage Bank gained 9.94 per cent to sell for N7.41, Unilever Nigeria appreciated by 9.65 per cent to N38.05, Learn Africa jumped by 8.33 per cent to N3.25, Secure Electronic Technology surged by 7.41 per cent to 58 Kobo, and Consolidated Hallmark advanced by 7.27 per cent to N2.95.
On the flip side, Northern Nigeria Flour Mills declined by 9.97 per cent to N79.00, The Initiates fell by 9.57 per cent to N4.25, Caverton descended by 9.06 per cent to N2.31, Guinea Insurance depreciated by 8.70 per cent to 63 Kobo, and NGX Group lost 8.56 per cent to quote at N31.50.
The activity log was mixed yesterday as the trading value went up by 3.81 per cent, while the trading volume and the number of deals went down by 13.87 per cent and 9.29 per cent apiece.
A total of 368.8 million shares valued at N10.9 billion were traded in 13,228 deals during the session versus the 428.2 million shares worth N10.5 billion transacted in 14,583 deals on Monday.
Fidelity Bank was the most active stock of the day with a turnover of 47.4 million units worth N867.0 million, Access Holdings traded 28.1 million units for N592.2 million, Zenith Bank sold 23.1 million units valued at N1.2 billion, UBA exchanged 22.0 million units worth N690.5 million, and FCMB transacted 20.8 million units valued at N185.1 million.
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