GSR can manage the entire buying or selling procedure, from start to finish, offering a safe, secure, and simple way to convert your crypto assets into any money.
Programmatic execution lowers prices and increases transparency while decreasing the risk of human mistakes.
Quantitative investors, such as algorithmic hedge funds, market participants, and high-frequency dealers use unique execution algorithms that are deliberately built to suit their investing strategy.
Asset or fund managers looking to establish a significant algo trading crypto investment can reduce their average cost by operating algorithmically, maximising potential rewards.
The same is true for a significant shareholder of a digital asset who wishes to minimize the impact on the asset’s price when selling a portion of her stake.
A well-calibrated crypto algo trading divides big trades into smaller parts and processes them across several trading platforms, generating greater outcomes and sparing the trader both time and money.
- All services can be charged based on either time or volume (TWAP / VWAP).
- Access to more than 60 bitcoin exchanges
- Trade 200 digital asset crossovers.
- Services for post-trade settling in USD, EUR, JPY, or any other significant currency
- Intelligent Order Routing
- Account Manager on Staff
- Take advantage of our worldwide banking network and industry-leading custodians.
- Reduce exchange-related risk.
- Reduce slipping by
- Reduce human prejudice
- The white-glove treatment
Algorithmic Trading is Specifically Appropriate for the Digital Asset Market
Liquidity in digital assets is extremely fragmented: utilizing only one cryptocurrency exchange, it is impossible to acquire even half of the trade volume.
Market Depth is Vague: The terrible fact with digital asset markets is that many stated volumes are phony.
Dealing with Low-Quality Trades: Even semi-institutional traders who want to be present on numerous exchanges to increase liquidity face several hazards.
The default option for a crypto investor wishing to enter or exit a bitcoin investment is to connect to the exchange and manually execute their order.
This form of order execution introduces several unneeded risks, such as human mistakes, exchange credit risk, and poor execution. ‘Cryptocurrency Algorithmic trading’ develops rules that trading can naturally follow.
To perform the deal, computer algorithms are employed, eliminating the need for human operations, allowing simultaneous resourcing from many pools, and promoting major efficiency benefits; in other terms, saving both time and money.
Crypto algorithmic trading has been widespread in conventional payment markets and has been practiced for about 50 years. However, in the case of digital assets, most flows are still carried out manually. This post will highlight the advantages of algorithmic trading cryptocurrency and why we believe it is even more applicable in the digital environment.
Read also : Cryptocurrency Exchanges
Getting Rid of Human Bias
Nearly every single instance of organizational risk-taking involves algorithmic crypto trading execution. Statistical investors, such as systematic hedge funds, market makers, and high-frequency traders, use unique execution algorithms that are deliberately built to suit their investing strategy.
For example, other investors, such as pension schemes, mutual funds, and discretionary hedge funds, use trade execution procedures made available by investment company trading desks.
Not All Trades Are Created Equal
It is critical to recognize that a transaction might take multiple pathways based on the investor’s goal, making trading algorithm adaptation critical.
For example, when it comes to investing, completing a deal as quickly as feasible may not always result in the best conclusion.
If you want to profit from short-term price swings, aggressive execution may be required, and you will pay a premium for it (i.e., allow for more market impact).
However, if you anticipate your earnings will grow over time, or if you are planning to buy or exit a longer-term position, a less assertive trading strategy may make sense.
One example is that whether an asset’s price moves up or down throughout a day or week is fairly unpredictable.
You can use the asset’s existing variance or instability to approximate the magnitude of price movement. Still, your forecasts are generally no better than a coin flip when it comes to direction.
The only certainty is that impact on the market and overrun will have a detrimental effect on your fill price, therefore it makes sense to limit them during the course of the deal.
Algorithmic Trading is Specifically Appropriate for the Digital Asset Landscape
Market Depth Is Vague — The unpleasant fact in the digital asset markets is that most stated volumes are phony.
Even though a certain exchange has $20mm of reported volume each day for a specific cryptocurrency, we have observed that real volumes transacted are often less than $1mm, for example.
Unfortunately, published volume levels have become a sort of public relations, since having higher volume suggests not only that your exchange is more popular, but also that it provides better liquidity than rivals.
OTC Brokered Trades vs. Algorithmic Trading
Finding a broker to execute your deal directly with another counterpart is one technique to avoid exchange risks and trading huge quantities.
While this is a widespread practice, it normally entails paying considerable fees, sometimes more than 5%, to all parties involved. It sometimes takes a significant amount of work and time to find the other side.
Consider attempting to sell $50 million in Bitcoin – even if a broker can locate a buyer and finalize the sale in three days, the market has plenty of time to fall considerably.
However, programmed execution is significantly more cost-effective because there is no need to spend many percentage points away from the business, and execution begins instantly.
A More Individualized and Dynamic Service Model
Algorithmic trading is ideal for significant digital asset holders who wish to minimize the impact on the asset’s price while liquidating a portion of their holding.
For example, settings may be set to automatically sell less when there is no strong bid on a certain day.
More anonymity – if you want to keep a flow discreet, going via a recognized market maker reduces the danger of market players finding out.
Reduced costs – Trading with a reputed market maker results in lower exchange fees. Market makers pay lower costs than typical market participants because traders can negotiate volume discounts or rebates with trading venues.
Transparency – dealing directly with a credible market maker lets you see where all trades are taking place and at what levels. This fair and open strategy contrasts sharply with brokered deals or even exchanges, where common undisclosed or hidden costs are.
Reduce the likelihood of human mistakes – Another advantage of algorithmic trading is that it eliminates the potential of human error. There will be no more ‘fat fingers’ or mishaps that might negatively influence returns in a small order book.