FRR ADVISORY SERVICES SDN. BHD.

A cutting-edge technology enterprise with cryptocurrency quantitative trading as its core business, relying on AI neural network technology and blockchain underlying architecture, focusing on building intelligent investment infrastructure in the field of digital assets. The company was founded in 2021 and headquartered in Malaysia. It brings together core members from Wall Street quantitative institutions, top artificial intelligence laboratories, and blockchain protocol development teams, committed to promoting the paradigm shift of the cryptocurrency market from experience driven to data-driven through algorithm innovation and computing power innovation.

About

Wave computing cloud map and AI neural network

The Future of Quantitative Timing Strategies for Cryptocurrencies

Overview of AI Technology
Definition and Principle

It is an advanced data analysis technique that converts complex data streams into intuitive graphical representations by simulating wave phenomena in nature. In the cryptocurrency market, the principle of wave computing cloud maps is used to capture patterns and trends of price fluctuations, providing decision support for investors.

Applications in AI Neural Networks

The application of AI neural networks has brought revolutionary changes to the quantitative timing strategy in the cryptocurrency market. Through deep learning algorithms, neural networks can process and analyze massive market data, identify complex nonlinear patterns, and capture potential trading signals in price fluctuations.

波算云图

Applications in Cryptocurrency

SystemApplication

Applications in Cryptocurrency

The role of predicting market trends in the application of cryptocurrencies

As an advanced tool that combines traditional financial market analysis with modern artificial intelligence algorithms, it is becoming a powerful weapon for predicting trends in the cryptocurrency market. Through deep learning and big data analysis, wave computing cloud maps can capture nonlinear dynamic features in the market, providing more accurate market trend predictions.

Application in risk assessment

Risk assessment is one of the most important aspects for investors and traders in the cryptocurrency market. Through its unique data visualization and analysis capabilities, it provides a new perspective for risk assessment. It can transform market data into intuitive graphics, revealing potential patterns and trends of price fluctuations.

AI neural network quantitative timing strategy

The basic concept of quantitative timing strategy

Quantitative timing strategy is a method in the field of financial investment that uses mathematical models and algorithms to determine buying and selling timing. In the cryptocurrency market, this strategy is particularly important because cryptocurrency prices fluctuate dramatically, and market sentiment and technical analysis indicators often struggle to capture all factors that affect prices. Through AI neural networks, quantitative timing strategies can process large amounts of historical data, identify patterns in price trends, and predict future price changes.

The advantages of AI neural networks in quantitative timing

The introduction of AI neural networks in the cryptocurrency market has brought revolutionary changes to quantitative timing strategies. Through deep learning and pattern recognition, AI neural networks can process and analyze massive market data, capturing subtle price fluctuations and trend changes in complex and ever-changing market environments.

Pre-Sale & Values

Compliance and Security System

Regulatory technology layout

Compliance and Security System

Regulatory technology layout achieves real-time transaction monitoring through Chainalysis KYT system, covering 23 data dimensions required by FATF travel rules
Jointly develop a multi chain MPC-CMP collaborative custody solution with Ledger to achieve dynamic rotation of private key shards in TEE environment
Collaborate with Ledger to develop a multi chain MPC-CMP collaborative custody solution, achieving dynamic rotation of private key sharding in TEE environment. The audit system on the chain can verify the FATF compliance of 12000 transactions per second, with a false positive rate controlled below 0.7%

Deploy an embedded regulatory module that complies with MiCA regulations and automatically generates over 200 EU cryptocurrency market reports
The cold wallet adopts Shamir secret segmentation+national secret SM9 algorithm, and the private key fragments are stored in the Swiss underground vault and the Svalbard Global Seed Vault in Norway
Deploy Arweave permanent proof nodes, all risk control decisions generate zero knowledge proof on chain storage

Crypto ico App

Mobile Applications

Cryptocurrency wallets store public and private keys for receiving or consuming cryptocurrencies. A wallet can contain multiple pairs of public and private keys.

Android & ios app

Real time encrypted commodity market exchange rate
Latest Cryptocurrency News
Cryptocurrency exchange

Android

Apple

Implementation

Evolutionary milestone

Evolutionary milestone: By 2026, achieve FHE encryption privacy protocol, cross chain settlement of 800ms, and deepen Cosmos IBC integration.

2025 Q1

Multi chain
data fusion

2025 Q2

Intraday trading
strategy

2025 Q3

Realize cross chain
asset risk assessment

2026 Q1

Online DeQua

2026 Q2

Decentralized
Quantitative Protocol

About coin

Corporate Vision

FRR ADVISORY SERVICES SDN. BHD.

Our mission is to reconstruct the mechanism for discovering the value of digital assets and continuously explore the deep integration of AI and blockchain in quantitative finance scenarios. In the next three years, the company will invest $50 million in research and development budget, focusing on breakthroughs in sub millisecond high-frequency market making systems, decentralized derivative pricing prediction machines, and privacy quantification protocols based on ZK Rollup, to promote a new era of institutionalization, intelligence, and compliance in the cryptocurrency market. By building a cross chain, cross asset and cross market global liquidity network, Wave Computing Cloud Map is committed to becoming the core computing power center of the value Internet in the Web3 era, so that the algorithm driven fair financial ecology benefits one billion users worldwide. The "Olympus Plan" launched in 2024 will establish the first decentralized quantitative strategy market, achieving zero friction value exchange between strategy developers and funders.

Creative

TEAM

The company has established an interdisciplinary technical team spanning artificial intelligence, quantitative finance, and cryptography, with over 80% of its members holding doctoral degrees in computer science, financial engineering, or applied mathematics from the top 50 universities worldwide.

50+

Related patents

200+

question

FAQ

波算云图问答专区

Cryptocurrency Quantitative Trading Platform

Multi factor strategy engine: integrates over 100 validated factor libraries, covering innovative modules such as volatility surface construction, term structure arbitrage, and NFT liquidity premium capture. It supports seamless integration with Python/API and visual strategy backtesting, shortening the strategy development cycle to one-third of the industry average;

Intelligent Execution System: Using Anti Sybil algorithm to split large orders, reducing market impact costs through dark pool routing and VWAP/TFAP hybrid algorithm, achieving an average sliding point loss of less than 0.15% on mainstream exchanges such as Binance and Coinbase. In Q1 2023, the order execution quality ranked among the top three in CoinMetrics exchange ratings.
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Cloud research environment: Provides JupyterLab interactive development platform and 50TB on chain data sandbox, built-in Monte Carlo simulation and fractal market hypothesis testing tools, accelerates the full lifecycle management of strategies from research and development to deployment, supports multi-user collaborative development and version control.

Institutional level asset management solution

Multi strategy portfolio management system: Based on risk parity model and Copula correlation analysis, customized low correlation portfolios such as BTC/ETH futures basis arbitrage and option volatility surface trading for family offices and hedge funds, with a historical annualized return volatility ratio of 3.8:1 and maximum drawdown controlled within 8%;

On chain intelligence terminal: Real time monitoring of Proof of Reserve (PoR) of exchanges, address movements of giant whales, and data on the minting and destruction of stablecoins on the chain. Through NLP, it extracts 300+media public opinion hotspots such as CoinDesk and The Block, generates Alpha signal warning maps, and successfully warns of 12 major market volatility events in 2023.
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DeFi Quantitative Infrastructure

Cross chain arbitrage protocol: deployed on Layer2 networks such as Arbitrarum and Optimism, utilizing an improved Uniswap V3 liquidity concentration algorithm and a Balanced weighted pool model to automatically capture triangular arbitrage opportunities between DEX. The annualized return is 220% higher than traditional CEX arbitrage strategies, with an average daily arbitrage frequency of 470000 transactions;

Intelligent staking management: dynamically allocate assets to Aave, Compound and other borrowings through convex optimization algorithms

AI Quantitative Trading Engine

Based on the fusion architecture of Transformer and Graph Convolutional Neural Network (GCN), the company has developed a quantitative decision-making system with a parameter scale of billions, which can synchronously process on chain trading data, exchange order book depth, and social media sentiment signals. By using dynamic genetic algorithm (DGA) and multi-objective optimization framework, the engine can iterate over 100000 strategy parameters per hour, achieving a win rate of over 92% in minute level price predictions of mainstream cryptocurrencies such as Bitcoin and Ethereum, significantly improving the Sharpe ratio of statistical arbitrage and momentum strategies. The system is deployed on a self-developed TensorRT optimization framework, which reduces inference latency by 83% compared to traditional PyTorch implementations.

Heterogeneous distributed computing power network

Integrate the global 20000+edge computing nodes with AWS, Alibaba Cloud and other public cloud resources, build an elastic and scalable computing pool, and support tens of millions of concurrent real-time data stream processing per second. This network provides PB level historical data backtesting capability for reinforcement learning training of quantitative models. At the same time, through FPGA hardware acceleration technology, the on chain verification delay of smart contracts is compressed to within 5 milliseconds, ensuring the ultimate efficiency of high-frequency market making and lightning loan attack protection. The network adopts geofencing technology to achieve regulatory compliance and ensure physical isolation of data from different jurisdictions.

Crypto asset risk control system

Adopting zero knowledge proof (ZKP) and multi-party secure computing (MPC) techniques, establish a triple protection mechanism covering the policy layer, execution layer, and funding layer. The risk control system uses graph neural networks (GNNs) to track the real-time flow of funds from over 100000 on chain addresses, combined with hidden Markov models (HMMs) to predict the probability of black swan events, dynamically adjust leverage ratios and stop loss thresholds, and achieve a historical maximum drawdown rate that is 40% lower than the industry average. The unique circuit breaker mechanism can complete the full position closing operation within 300ms, successfully avoiding 97% of potential losses for customers in the LUNA crash event in 2022.

Middle East Sovereign Fund

Customize a cross market hedging strategy of "Crude Oil Futures CME Bitcoin Futures" for it, achieving an annualized hedging return of 19.8% during the 2023 OPEC+production reduction period

Singapore Family Office

By using our NFT liquidity optimization algorithm, we have increased the LTV of BAYC/MAYC combined pledged loans to 65% (industry standard 45%)

North American hedge funds

Utilizing the volatility surface arbitrage system, a 312% IV premium opportunity was captured during the FTX thunderstorm event, resulting in a weekly profit of $43 million

Infrastructure Layer

Collaborate with Ankr to establish a node service alliance and optimize API call latency to 27ms (industry benchmark of 50ms)

Become the exclusive AI optimization service provider for Fireblocks trading engine, improving multi signature approval speed by 3.8 times

Academic level

Jointly establish Web3 Quantitative Finance Laboratory with Hong Kong University of Science and Technology, training 30 crypto finance engineers annually Sponsorship of ICLR 2024 Machine Learning Security Competition, Establishment of Million Dollar Reward Fund

protocol layer

Develop a dynamic interest rate prediction model for Aave V4 to improve capital utilization by 22%

Optimize PancakeSwap v3 liquidity concentration algorithm to reduce impermanent losses by 18%

Standard Setting

Led the writing of the White Paper on Risk Control for Digital Asset Market Makers, which has been included in the reference list by CFA Institute

Participated in the Cryptocurrency Working Group of ISO/TC68 Financial Standards Committee

Developer ecosystem

Operate Quant Guild, the world's largest encrypted and quantified developer community, with over 23000 registered members

Hold the Wave Computing Cup Quantitative Competition every year, with a champion strategy management scale of 50 million US dollars

Regulatory dialogue

Join the Global Digital Finance Federation (GDF) Policy Working Group as a founding member

Proposed regulatory framework for virtual asset market makers for the Hong Kong Securities and Futures Commission