whitepaper
Last updated
Last updated
The crypto market, now valued at over $3.7 trillion, showcases the immense opportunities within decentralized technologies. Within this vast ecosystem, the DeFi sector valued at $136 billion and growing rapidly stands out as the most strategic gateway for accessing these opportunities. Unlike traditional finance, DeFi offers unparalleled transparency, autonomy, and flexibility, allowing investors to engage directly with financial products without intermediaries. This direct access is crucial for capitalizing on the agile and dynamic nature of crypto markets. But the DeFi ecosystem remains complex and fragmented, posing high barriers to entry that deter widespread adoption. Investors often grapple with a steep learning curve, convoluted processes, and subpar user experiences. aarnâ tackles these challenges with its advanced decentralized asset management platform designed to simplify and democratize access to alpha. Utilizing advanced deep learning models, aarnâ analyzes market data to identify high-performing tokens and optimize investment strategies.
aarnâ is an advanced decentralized asset management platform, developed by integrating AI quant strategies with advanced on-chain tokenization, providing a fully permissionless, transparent and self-custodial platform for high-value investors, to manage their digital assets' lifecycle. The platform is designed along three vectors essential to solve the problem of complexity, volatility & centralized risk in crypto markets - enabling quality informed access for users. The first vector is an AI deep learning framework for alpha discovery in crypto markets, targeting high return short-term assets, with a layered risk management system based on probability filter stop-loss mechanisms. Second, an Ethereum-based tokenization platform built using 9 smart contracts, which handles complex transactions and is composable with the top-tier DeFi ecosystem. Third, a user-focused yet sophisticated dApp with a fully-functional mobile dApp for users to self-manage their digital assets lifecycle intelligently
While DeFi offers many innovative financial products it also faces significant challenges that hinder widespread adaptation.
It has a complex and steep learning curve requiring deep blockchain and financial knowledge, overwhelming both seasoned investors and newcomers.
Fragmented information and expertise further complicate informed decision-making.
Many DeFi platforms suffer from poor user experiences, including convoluted processes, high fees, and non-intuitive interfaces, creating friction and discouraging participation.
The inherent volatility and risk of the cryptocurrency market deter risk-averse investors, posing challenges for those seeking stable returns.
aarnâ addresses DeFi challenges by integrating AI quant strategies with On-Chain tokenization, enabling the creation of structured products within the DeFi ecosystem. The âtv 802 vault, built on the aarnâ platform, exemplifies the synergy of AI and tokenization, utilizing aarnâ’s propriety alpha 30/7 model to predict of short-terms opportunities, This framework sets the stage for developing additional structured vaults, expanding the platform’s capabilities and offerings.
AI quant strategies for alpha generation, aarnâ’s proprietary alpha 30/7 deep learning model analyzes vast amounts of on-chain and off-chain data to identify high-performing tokens to be rebalanced in âtv vaults, eliminating the need for users to have extensive DeFi knowledge.
Its intuitive decentralized application (dApp) offers a streamlined interface for investors to explore, invest in, and manage their alpha vaults, simplifying the DeFi experience for both new and experienced users.
aarnâ empowers alpha creators by providing a platform to tokenize and distribute their strategies, opening new revenue streams and expanding their reach.
Community-driven governance, Governed by a decentralized autonomous organization (DAO), ensures transparency and community participation.
Prioritizing security, aarnâ's smart contracts are audited by leading security firms.
Through this comprehensive approach, aarnâ is making DeFi investments more inclusive, efficient, and rewarding for all participants.
The aarnâ tokenization platform facilitates the creation of âtv vaults and is deployed on Ethereum & soon on Arbitrum, The platform includes 9 smart contracts on Ethereum (6 tokenization + delayModule + 1 timelock + ASRT), and 10 smart contracts on Arbitrum (6 tokenization + 1 sequencer + delayModule + 1 timelock + ASRT). To ensure reliability, all smart contracts have undergone comprehensive security audits.
These contracts support three types of on-chain structured products: structured trading, which utilizes aarnâ AI-generated predictions for automated, regular schedule-based trading akin to quant funds; value build with yield aggregation, similar to ETFs, which optimizes returns by holding and staking appreciating ERC20 tokens; and yield optimization, which allocates stablecoins to DeFi platforms for lending or staking, automatically rebalancing to maximize yield. Future developments will include handling Real World Assets (RWA) and other DeFi innovations like restaking.
âtvFactory: âtv products are generated from the âtvFactory by duplicating the Implementation contract (âtvBase) along with some adjustments to feature settings.
âtvBase: Core contract for deposits and withdrawals, and also assists in calculating the Net Asset Value (NAV). Additionally, it helps create products with vaults for users to mint shares.
âtvManager: âtvManager is the central authority for tokenizing âtv tokens. It manages rebalancing to keep assets aligned with strategy and can add permanent team wallets to vaults. It also safeguards âtv products by removing poorly performing or risky tokens.
âtvStorage: âtvStorage is the data vault for âtv Products. It tracks key info like total assets (TVL), rebalancing activity, and team wallets. It acts as a central hub for all âtv Product data, accessible by other âtv contracts for reading and writing.
âtvPassiveRebalanceStrategies: âtvPassiveRebalanceStrategies flips the switch on automatic rebalancing for âtv Products. This feature is set up by the owner during vault creation and lets the system auto-adjust holdings at regular intervals.
âtvOracle: âtvOracle handles swaps and conversions for âtv products using 1inch aggregator and uniswap v3. It converts ERC20 tokens to USDC based on Uniswap V3 and chainlink pricing and relies on USD values stored in the âtv system. When called upon, it can also distribute profits to the tokens within an âtv vault.
TimeDelay: TimeDelayModule enforces a delay for critical functions, to enhance security by ensuring that specific actions can only be executed after a predefined delay, allowing time for review and potential rescind of queued transactions.
TimeLock: Timelock contract provide the stake and unstake functionality to the users to generate rewards in aarna tokens. On staking, users receive ASRT (aarnâ Staking Reward Token) token as an LP token which can be exchanged with the AARNA. Timelock contract ensures that if âtv tokens are locked for a certain period of time that user has selected.
ASRT: aarnâ Staking Reward Token is a standard ERC-20 token used as LP token which can be exchanged for AARNA. The maximum supply of ASRT is set at 2 million and each token has a fixed value of USD 1.
âtv Tokenization Platform Deployment & Upgrades:
The first deployment of the âtv contracts will be handled directly by aarnâ using a single wallet. Once this initial deployment is completed, ownership of the contracts will be transferred to the aarnâ DAO SAFE wallet. As the protocol becomes more decentralized, the responsibility for deploying new versions of the contracts will shift to the aarnâ DAO. It's important to note that ownership of âtvOracle, âtvStorage, and TimeDelay will be transferred to multisig Wallet #2 (â_platform_safe) and the others (âtvFactory, âtvBase, âtvManager, and âtvPassiveRebalanceStrategies) will be transferred to multisig Wallet #1 (â_dao_safe). For security reasons, the current contracts are designed to be non-upgradeable. All new features and updates will be introduced through a structured versioning and migration framework, ensuring the protocol's robustness and security. Any modifications approved by the aarnâ DAO will be implemented with precision, maintaining decentralization principles while upholding the integrity of the system.
Deposits [Stablecoins]:
Users can deposit stablecoins like USDC, USDT, or DAI into these vaults and receive âtv tokens in return, calculated according to the Net Asset Value (NAV) after deducting a 1% deposit fee.
Cumulative Swaps:
As per the design all the deposits into âtv vaults are not immediately converted to underlying tokens. Instead, all deposited stablecoins are periodically swapped in a single transaction to save on gas costs, which are paid by the user. This swap is executed by a designated account known as the cumulative swap controller wallet, set by the DAO owner of the vault.
Rebalancing:
Rebalancing in the âtv tokenization platform optimizes returns or aligns with the vault's objectives, either actively or passively. During vault creation, aarnâ DAO selects rebalancing options via âtvBase and âtvFactory, including active, passive, or no rebalancing. Passive Rebalancing is managed algorithmically based on pre-programmed logic, rebalancing at fixed intervals to maintain design proportions. This method does not allow for the removal or substitution of tokens. Current strategies include: Continuously using the default design underlying token proportion, regardless of TVL changes. And updating token proportions during cumulative swaps based on current units and TVL. Active rebalancing, on the other hand, involves manual adjustments by the alpha creator or manager, approved by the DAO. This includes scenarios like withdrawing underperforming tokens, replacing them, or redistributing their value among existing tokens. New rebalancing strategies can be introduced in future versions of the âtvManager, allowing the DAO to update rebalancing methodologies as needed. Algo Product Rebalancing allows adding, removing, or replacing multiple tokens at once, with equal distribution among all tokens. For instance, if there are five tokens, each will have a 20% proportion. Algo Rebalance 2 allows removing one token from the underlying list and keeps the removed token in a stable token(whitelisted iToken) that should be considered in the next cumulative swap. Emergency Rebalance addresses non-performing tokens by withdrawing them from their staking protocols and updating the vault's underlying tokens. The removed token's balance is transferred to the vault contract and can be withdrawn using the emergencyWithdraw() function, which requires specifying a recipient wallet address.
Withdraw and Redemption:
Investors can queue their âtv vault tokens to withdraw anytime after at least one cumulative swap since the last deposit. Upon depositing stablecoins, they receive locked âtv tokens, which can be queued to be withdrawn after a swap. Time-locked âtv tokens for additional yield must be unlocked first. Redemption occurs at the vault's prevailing NAV, with tokens swapped on Uniswap V3 into the chosen stablecoin, transferred to the user's wallet, and the redeemed âtv tokens burnt. Users have three withdrawal options: specifying a stablecoin (oToken), checking withdrawal amounts against contract proportions, or unstaking assets and swapping into the oToken. Withdrawal tokens can be paused/unpaused or removed/added to the input token list.
Fee distribution:
The fee structure comprises a 1% transaction fee deducted from the user's stables and credited to the aarnâ DAO multisig wallet, as defined in the âtvBase contract. The performance fee, set by aarnâ DAO at vault creation, ranges from 0% to 10% based on profits during redemption. Typically, a 10% fee is split with 6% going to the alpha creator and 4% to aarnâ DAO. Profit sharing for queued redemptions is collected by âtvOracle and distributed via unstakingProfitDistribution() by the cumulative swap controller. Funds are secured by the âtv base contract, accessible only to the specific investor.
Transferability: The âtv vault tokens are non-transferable or tradable by default. However, this is configurable. So, the token can be made transferable if needed. Tokens are minted in the user wallet at the time of deposit and burned at redemption.
NAV based âtv pricing: The pricing of âtv tokens is based on the Net Asset Value (NAV) approach, reflecting the value and composition of underlying tokens plus any passive yield incomes from staking. NAV is calculated based on the total value locked divided by the sum of âtv tokens, with investments and redemptions based on the NAV. The initial price of each vault token is set at USD 100.
âtv staking & timelock rewards: To reward early investors/liquidity providers to âtv vaults, aarnâ protocol has a staking and timelock rewards program. Users can stake (or lock) the âtv tokens on aarnâ for a selected time period. Based on the duration of lock period and lock date, a fixed APY would be applicable, which will be paid out in aarnâ tokens at the time of unstake/redeem.
Smart contract security efforts start before writing the first line of code – during planning, design, and development processes and end with securing against cyberattacks and potential vulnerabilities such as re-entrancy, front running, ETH send a rejection, integer overflow/underflow, DoS, Insufficient Gas briefing. The contracts have been extensively tested and have 100% test case coverage, they have undergone a preliminary audit, and then a final audit by top tier audit firm, Certik. [Skynet >>]
The aarnâ AI alpha 30/7 model applies advanced deep learning techniques to develop investment strategies for the cryptocurrency market, the model combines Variational Autoencoders (VAE), Long Short-Term Memory Networks (LSTM), and Attention Mechanisms to analyze blockchain transactions, social sentiment, technical indicators, and high-value user behavior. The result is an AI model that consistently delivers strong returns while managing downside risk. Backtesting shows that the model achieved over 300% returns in 12 months, outperforming benchmarks like CCI30 and Bitcoin, and maintaining positive performance even in negative markets. The aarnâ protocol’s âtv802 vault utilizes this model, offering high-value investors a tokenized crypto structured product that represents a significant step forward in AI and financial innovation. "Alpha Is All We Desire" encapsulates aarnâ's mission to unlock scalable participation in DeFi through advanced AI capabilities.
In aarna’s alpha 30/7 neural network architecture, the initial processing begins with a Variational Autoencoder (VAE), which transforms the input dataset of 93 features into 32 latent spaces. These latent spaces are then passed into LSTM layers that capture and analyze temporal dependencies within the sequence. Enhancing this analysis, an attention mechanism focuses selectively on the most pertinent aspects of the LSTM outputs, ensuring that critical information is emphasized for subsequent layers. The processed data is then integrated and further interpreted in the Dense layers (ANN), which apply non-linear transformations to consolidate the insights derived from earlier stages. The architecture is fortified with a risk management framework, incorporating a probability filter designed to avoid predictions when the model lacks confidence and a dynamic stop-loss mechanism adjusted based on market moments to reduce downside risks. This flow ensures that the network not only predicts effectively but also guards against potential financial uncertainties.
The alpha 30/7 architecture integrates advanced techniques to optimize data processing and predictive performance. At its core, Variational Autoencoders (VAEs) compress high-dimensional data (93 features) into a compact latent space, effectively reducing noise while capturing essential structures within the data. The VAE architecture includes an encoder that maps input data to a latent space, generating a mean and log-variance, and a decoder that reconstructs the data, ensuring a meaningful and robust data representation for subsequent analysis.
Building on the VAE output, the architecture employs Bidirectional Long Short-Term Memory (LSTM) networks with 64 units to capture both past and future dependencies in sequential data, crucial for tasks involving time series or ordered data. To prevent overfitting, L2 regularization is applied, maintaining a balance between model complexity and generalization. An integrated attention mechanism enhances the LSTM’s capability by selectively focusing on the most predictive features derived from the VAE, ensuring the model prioritizes critical information. Finally, Dense layers with ReLU activations integrate and interpret these features, with the final output layer utilizing a sigmoid activation for precise binary classification, delivering refined and reliable predictive probabilities.
The risk management system incorporates two advanced filters that effectively mitigate potential downside risks:
Probability Filter: This filter is designed to minimize losses by intervening when the model's confidence is low.
Dynamic Stop-Loss Filter: Adjusts its parameters based on market performance, minimizing the losses .
Together, these mechanisms provide a robust risk management framework. They proactively manage potential declines and adapt to evolving market conditions, thereby protecting investments from severe losses.
Data Selection
DeFi liquidity constraints pose challenges for autonomous on-chain execution. aarnâ addresses this by focusing on tokens with a minimum liquidity of $500k on Uniswap v3 on Ethereum, ensuring that the model is trained on economically significant and active assets. This approach filters out long-tail assets from both the training and inference datasets, enhancing prediction relevance and accuracy.
All collected data, including OHLCV, Twitter, blogs, and user transactions, are stored daily on AWS Cloud, in Amazon S3 as raw data. To transform this raw data into a structured format suitable for analysis, AWS Glue jobs are utilized, which automate the extraction, transformation, and loading processes. Additionally, AWS Lambda functions are employed to handle event-driven data processing, ensuring that data flows smoothly and remains up-to-date. The transformed data is then queried and analyzed using Amazon Athena.
The feature set for alpha 30/7 is extensive, with over 93 handcrafted features based on multiple data sources outlined in the data groups in the table below. It includes 17 sentiment-based features from Twitter and blog content, 18 transactional features on whale users filtered from a universe of 22k users to capture market impact, and various price-related metrics to capture market dynamics. For sentiment analysis, aarnâ utilizes the LLAMA and CryptoBERT models, specifically designed to capture trends from social media and blog data.
Data source
Group
Description of Features Created
OHLCV
Price and Market DynamicsFeature
Includes day-specific price data, market volatility, moving averages, trend and momentum indicators to analyze market behavior.
USER TRANSACTION
Transaction and Volume
Features capturing whale users activities, and transaction values,
to reflect trading dynamics and volume flow
SOCIAL MEDIA
Sentiment and Social Media
Data from Twitter and news articles to analyze sentiment trends, consistency, and dynamics through various sentiment scores and changes
Table 1: Feature Overview for DL Algorithm
The VAE model was custom-built in TensorFlow/Keras, focusing on minimizing reconstruction loss and KL divergence to balance data fidelity and latent space regularization. Training (grey) and validation (blue) loss curves confirm the model's learning progress. The model aims to predict weekly returns greater than 5%, achieving a training recall of 0.91 and precision of 0.9. Validation recall and precision are 0.44 and 0.62, respectively, indicating strong performance in identifying positive instances, though validation precision is lower.
The objective of the model is to identify instances where returns are greater than 5% in a week. The model shows good performance in this regard, achieving recall values of 0.91 in both training and validation sets, indicating it correctly identifies most positive instances. The precision is 0.9 in training and 0.62 in validation, meaning a substantial proportion of the predicted positive instances are true positives. The loss curves for both training and validation datasets consistently decrease with each epoch, demonstrating the model's learning capabilities. While the classifier is not perfect, it effectively predicts tokens above 5% in a week, aligning with the objective.
The model has shown impressive performance, surpassing both Bitcoin and the CCI30 index with returns over 300% in the last 12 months. The base model's risk filter has successfully reduced downside risks but tends to miss recovery opportunities due to its conservative settings. Although in the last quarter Bitcoin showed marginal positive returns, the model missed opportunities over a two-week period as shown in Figure 8 due to these conservative nature of risk filters.
Figure 9 shows the risk filter's effectiveness with "Flag 1" indicating safe trading periods in teal, and "Flag 0" in magenta for high-risk periods, effectively preventing trades during uncertain market conditions, holding assets in stablecoins during that week.
While the Alpha 30/7 DL model has shown impressive performance surpassing both Bitcoin and the CCI30 index, it still has potential to grow. The model’s risk filter's conservative calibration tends to miss opportunities during market recoveries, indicating a need to implement a design to better capture the gains in the rebound phase.
The feature set will also be expanded further to include blockchain transaction & consensus level data and other metrics that might enhance the model’s learning. Additionally, aarnâ will explore the use of advanced models like transformers that excel in handling complex relationships and temporal sequences in blockchain data.
Future plans also include open sourcing contributions to aarnâ AI via decentralized protocols.
aarnâ protocol offers DeFi investment strategies through âtv vaults. These vaults are created by the aarnâ DAO tokenizing various techniques and cater to different risk preferences. Investors can connect their wallets, choose a vault based on their goals, and invest with a single click.
aarnâ protocol’s âtv 802 is crypto’s first AI quant structured product, a digital assets tokenized product, or vault, for investors seeking consistent alpha in the crypto market, whilst limiting downside risk capped at 10 million USD. âtv802 utilizes aarnâ’s alpha 30/7 AI deep learning model which predicts high potential tokens, dynamically managing a diversified portfolio of top assets. The âtv 802 vault then executes transactions directly via smart contracts to rebalance the portfolio regularly.
alpha 30/7 deep learning model, trained on on-chain metrics, technical indicators, and social sentiment, to identify top-performing tokens by analyzing a 30-day look-back window, the model predicts 5 tokens for the next 7 days, swapping them regularly to ensure strategic returns.
The vault offers sustainable growth in volatile markets, allowing investors to capture regular gains without complex portfolio management. It also provides a reliable shield against market downturns through autonomous rebalancing and strategic resource deployment, ensuring asset preservation and long-term security. It also employs a dynamic stop-loss mechanism adjusted based on market moments to mitigate downside risks.
âtv 111:
âtv 111 is a stablecoin yield optimization vault designed primarily for stablecoin holders. It dynamically reallocates funds in real-time across top DeFi protocols- Compound v2, Compound v3, and Aave, to secure the highest available returns. The vault’s innovative structure facilitates incentive-driven staking where users earn both base APYs and additional rewards via the native $AARNA token. In terms of operation, it enables users to deposit stablecoins and withdraw funds either directly or via a queued system designed to minimize gas fees. This flexible approach to liquidity allows for easy staking and unstaking without any lock-in periods. Looking ahead, atv 111 will also offer a collateralized loan feature, allowing âtv 111 token holders to borrow USDC or other stablecoins up to a 50% loan-to-value ratio, thereby expanding its utility.
aarnâ’s native token, $AARNA, serves as a multifunctional utility token within the protocol. It secures âtv vaults through a time lock mechanism, incentivizes participation, fosters a DeFi community aligned with long-term TVL growth, and governs the protocol in a progressively decentralized manner. With a fixed supply of 100 million tokens and price of $0.40 from the private seed round, $AARNA plays a crucial role in governance and utility, integrating seamlessly with both the DAO and dApp. The protocol employs a hybrid governance model, combining on-chain mechanisms for transparency and immutability with off-chain decision-making for efficient coordination, ensuring robust and transparent governance.
The $AARNA serves as the native currency of the aarnâ protocol, providing essential functions within both the DAO and the dApp. Key utilities of the $AARNA include:
Governance: $AARNA holders have the power to participate in the governance of the aarnâ DAO by locking their $AARNA for veAARNA, proposing and voting on key decisions that shape the platform's future. This ensures a decentralized and community-driven approach to protocol development.
Access to Premium Features: Holding $AARNA unlocks premium features within the aarnâ dApp. This includes early access to new vaults and exclusive insights, providing additional value and opportunities for active participants. $AARNA holders may be eligible for discounts on platform fees, further incentivizing participation in the aarnâ ecosystem. This makes it more cost-effective for users to engage with various services and features offered by the protocol. Access to premium features to be released.
Staking and Rewards: Users can stake their âtv tokens to earn additional rewards. The âtv Timelock program, a secure and flexible staking protocol, allows users to lock their âtv tokens for a chosen duration, earning rewards in return. Rewards are distributed in âtvStaking Reward Tokens (ASRT) that have a constant value of USD 1, which can be exchanged for $AARNA. A predetermined reward cap ensures fairness and transparency, with the ability to halt staking activities before the full 24-month period is met. The contract owner can adjust the cap and pause staking for specific tokens if necessary. Even if staking is frozen for underperforming vaults, users can still claim previously earned rewards. When a user unstakes, rewards are calculated based on the largest lock period at the time of unstaking.
Community Incentives: The aarnâ DAO may use $AARNA to incentivize community contributions. This includes bug bounties, content creation, and participation in governance initiatives, fostering a vibrant and engaged community that actively contributes to the protocol's development and success.
The protocol provides access to veAARNA tokens by locking $AARNA tokens. veAARNA tokens grant governance rights and a share in protocol revenue, with voting power and shares proportional to ve-AARNA token holdings. Off-chain votes are considered only if the threshold of on-chain votes is reached, ensuring a balance between transparency and efficiency in governance.
The fixed supply of $AARNA is set at 100 million units, distributed among liquidity providers, community members, investors, and the team. The distribution aims to promote long-term growth, stability, and active participation within the aarnâ protocol. By ensuring a balanced allocation among stakeholders, $AARNA's tokenomics incentivize early adoption, reward long-term commitment, and support a decentralized governance model.
The âtv Timelock & Staking Program provides a secure and flexible staking option for âtv vault users to deploy capital and access âtv vault strategies. By locking âtv tokens for selected durations, users can earn up to 25% APY or 1x of yields in $AARNA, along with pre-sale access to the token. To encourage early participation and increase TVL, 2 million $AARNA tokens (2% of the total supply) are allocated for initial staking rewards, offering substantial incentives to early adopters and strengthening the protocol's financial ecosystem.
The token cycle in the âtv Timelock & Staking program starts when a user deposits assets into the âtv vaults and receives the âtv tokens in return. These âtv tokens can then be staked in the âtv Timelock to earn additional rewards. The non-debit locking mechanism ensures that staked âtv tokens remain securely locked in users' wallets, preventing physical withdrawal during the staking period. Users can initiate the unstaking process to regain control of their âtv tokens and access their initial deposits. TimeLock rewards are based on the longest lock period before unstaking. For example, locking âtv tokens for 6 months during the beta phase earns a 15% APY. If unstaked after 5 months, rewards revert to the 3-month APY of 12.5%. Booster TimeLock rewards depend on vault yield and lock duration. For instance, an 8-month lock earns extra rewards (in ASRT) equal to the yield multiplied by 0.50. Longer locks provide higher multipliers, promoting protocol growth.
The aarnâ ecosystem includes the aarnâ DAO, a collective of crypto experts, data scientists, and DeFi enthusiasts dedicated to creating alpha investment strategies. This collaborative ecosystem is designed to drive innovation, ensure transparency, and align incentives for the benefit of all participants.
The aarnâ dao facilitates collaborative alpha generation by providing a platform for skilled creators to develop innovative investment strategies. The aarnâ dao promotes Web3 research and development, allowing researchers to share insights and collaborate. Data scientists and analysts within the aarnâ dao analyze data to develop informed alpha strategies, while the Council of aarnâ Seers offers strategic guidance to ensure the protocol's long-term success.
Alpha Creators: Experienced DeFi professionals who design and manage alpha-generating strategies.
Web3 Researchers: Individuals dedicated to advancing the understanding and development of decentralized technologies.
Data Weavers: Analysts and data scientists who collect, process, and interpret on-chain and off-chain data to inform decision-making.
Council of aarnâ Seers: A group of eight seasoned leaders who provide strategic guidance and oversight to the aarnâ dao.
DeFi Enthusiasts: Community members who actively participate in governance and contribute to the growth of the aarnâ ecosystem.
The aarnâ dao is more than just a governance body, it's a vibrant community of contributors passionate about the future of decentralized finance. By fostering collaboration, incentivizing participation, and leveraging the power of collective intelligence, the aarnâ dao is driving innovation and shaping the future of asset management in the Web3 era.
While the current achievements of aarnâ demonstrate a clear path forward, this is considered just the beginning of the journey, and The team is dedicated to continuously improve and innovate, with clear outline of aarnâ’s future milestones and strategies for enhancing existing offerings.
aarnâ is dedicated to advancing AI-driven innovation in DeFi, continuously enhancing our Alpha 30/7 model, which has outperformed both Bitcoin and the CCI30 index. To further refine its capabilities, we will implement upgrades that enhance predictive analytics for market forecasting, AI-driven smart contract risk assessment, and personalized investment recommendations. Our advanced risk management tools and portfolio optimization algorithms will enable users to maximize returns while maintaining balanced risk profiles.
Recognizing the model's conservative risk filter occasionally misses market recovery opportunities, we plan sequential upgrades to improve its responsiveness. Expanding the feature set to include blockchain transaction-level data, such as Miner Extractable Value (MEV), and incorporating advanced AI models like transformers will provide deeper insights and more accurate predictions. By open-sourcing contributions via decentralized protocols, aarnâ fosters community-driven innovation, ensuring our platform remains at the forefront of DeFi advancements.
