ForthTech's quantitative trading strategy helps investors navigate cycles (2024)

Affected by the macroeconomic situation, the crypto market correction trend intensified. The entire cryptocurrency market cap has shrunk from a high of $3 Trillion to $1.2 Trillion, losing nearly two-thirds of its value. With Bitcoin down 57% from its All-time-high (ATH) of $69,000, and altcoins plummeting even further- It’s all set: the crypto winter is here.

A few days ago, Partners at Sequoia Capital issued a warning on their social media platforms: “The crypto market is facing an unprecedented situation, although cryptocurrency has experienced several bear markets, it has never experienced a global macro-financial storm.”This bear market may be worse than we thought.

So how does quantitative strategy maximize the impact of market fluctuations and achieve stable returns? We use ForthTech’s quantitative investment technology service to learn how a proven quantitative strategy works.

ForthTech's quantitative trading strategy helps investors navigate cycles (1)

ForthTech is one of the first companies in the crypto quantization market to develop its own AI learning system, with years of experience in policy development, database processing, server setup and maintenance, and security risk control. At present, Forthtech has established in-depth cooperation with Binance, BitMEX, OKX, FTX, DeriBit and other head exchanges and capital management institutions.

It currently provides five types of quantitative trading products, including cross-platform intertemporal composite arbitrage strategy, futures, and option hedging arbitrage strategy, intelligent adaptive volatility strategy, DEX and CEX composite arbitrage strategy, and currency-based multi-currency rotation arbitrage strategy. ForthTech’s flagship product is a cross-platform intertemporal composite arbitrage strategy that features flexibility, large capital, and full hedge security for holding positions.

Outstanding team, continuous deep cultivation of the crypto quantitative market

Founded in 2017, ForthTech has developed strategies that are both risk-resistant and sustainable. In 2018, the product hedged tens of thousands of ETH in Huobi and OKEX exchange, smoothly through the bull-bear cycle. ForthTech products are equipped with safety preparedness solutions, even in extreme situations, and have been established without a significant incident.

ForthTech’s team of investors and technology professionals have extensive experience on Wall Street, at leading companies, and at financial institutions.

More than 80% of ForthTech members have STEM backgrounds. Mr. Yan Wang has nearly 10 years of experience as a senior executive at A Wall Street investment bank, including Vice President of Nomura International, Lehman Brothers, and McKinsey, and is familiar with primary and secondary capital markets investment, and financing, M&A, and issuance. He has participated in and presided over several major cross-border M&A projects, with a total amount of tens of billions of dollars.

Darren, the core member, entered the crypto industry in 2014 and set up the trading team in 2017. Since then, he has been focusing on the cryptocurrency trading track, managing the capital scale of over $100 million/

Darren, crypto native with a deep understanding of the market, said: “This bull/bear transformation will spawn a crop of technically competent unicorns. Considering the current market, ForthTech is bucking the trend. But in fact, it was a natural response. In a bear market, principal preservation should be the first priority of trading strategies, and quantitative trading is the best strategy to return to the essence of risk control. “ForthTech has a strong foundation in terms of technology strength, risk management, transaction experience, and IT implementation and is confident that it will be well established in this cycle.”

Since its inception, ForthTech products have grown steadily, going through bull and bear markets several times and achieving average annualized returns of 20% to 50%, according to data. To further expand its product portfolio, ForthTech opened technical services in 2021 and currently has approximately $100 million in assets under management and is expected to add an additional $100 million in the next quarter.

Conclusion

Being adaptable in the crypto industry is vital, as those who can respond to change with rational decision-making will succeed in the current climate. The future of the crypto market is rather exciting, but macro events have destabilized the international economic markets and thus have led to volatile markets.

With strict regulations around professional investment technologies that deal with the volatility of the market, make sure to choose mature financial products which have been proven and tested by those that matter.

Disclaimer: This is a paid post and should not be treated as news/advice.

Previous: Cardano [ADA] climbs, but will that make investors happy this time

Next: Are THETA’s bullish theatrics testing the gig of crypto twins

ForthTech's quantitative trading strategy helps investors navigate cycles (2024)

FAQs

What is crypto quantitative trading? ›

Crypto Quantitative Trading is an amalgamation of sophisticated mathematical and statistical techniques, machine learning algorithms, and financial acuity applied to the volatile world of cryptocurrencies for making data-driven, strategic investment decisions.

What is a quantitative trading strategy? ›

Quantitative trading consists of trading strategies based on quantitative analysis, which rely on mathematical computations and number crunching to identify trading opportunities. Price and volume are two of the more common data inputs used in quantitative analysis as the main inputs to mathematical models.

What are the top 4 method types of quantitative? ›

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.

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