Ecosystem
Function — Description
Passive income — The user receives 20 tokens simply for holding funds in the wallet, calculated in USD equivalent. Accruals depend on the minimum daily balance. This is the MVP portfolio. In the future, the number of tokens may change, and users will have a choice of strategy.
Staking with lock — AIISAAC and partner tokens can be staked for 30/90/180 days. Yield is calculated dynamically based on TVL and demand according to the economic model of income generation.
Reward claim — Each token can be claimed manually. The fee is charged in the gas token of the corresponding network (ETH or BNB).
Mini-App — The Telegram version of the wallet integrates with the main wallet and duplicates all the functionality of the Web version of AI ISAAC. In the TG mini-app, there is also the possibility to complete tasks for additional rewards from us and our partners.
Income Accrual Mechanism
Sources of protocol income:
AI Trading Bot (45%) — Transfers part of its profit into the yield smart contract.
Listing of new tokens in the index (up to 15%) — New projects pay for inclusion in the index, as well as from these projects’ generated revenue.
Farming (10%) — Income from AIISAAC’s internal staking pools.
Lending/Restaking strategies (10%) — Using verified platforms such as Aave, Compound, LST/LRT. Only our reserve is used without involving users’ assets.
Swap fees — 80% of swap token commissions in the wallet are returned as income accrual to users.
Exchange and distribution:
Income from AI trading in various coins from our index is fixed every 24 hours.
Each user then receives their share based on the percentage of the minimum daily balance.
The user claims rewards separately for each token — 80% of the funds from the claim are also returned as income back to users and added to the index pool.
Accrual formulas:
Passive income as a percentage on account balances is accrued on the minimum daily token balance at the user’s address over a 24-hour period (UTC). This prevents manipulation with temporary transfers and encourages holding the balance.
Our AI bot is a hybrid trading model that combines analysis and forecasting using AI agents, as well as order execution using classical trading bots. This approach eliminates the human factor and maximizes data usage for decision-making based on large volumes of information.
Key elements of the platform:
AI agents for data analysis — deep neural networks trained on historical data with consideration of market scenarios, social signals, and news.
Monitoring of social signals — evaluation of activity from major influencers, large wallets, and public opinion on social media.
Automated trading with bots — execution of trading strategies without human participation to eliminate subjective decisions and errors.
The project is implemented on Binance Smart Chain (BSC), ensuring high transaction speed and minimal fees. The hybrid architecture of the platform, combining predictive analytics from AI agents and automatic execution of strategies by trading bots, is an innovative solution providing accurate forecasting and protection against market anomalies.
Market challenges:
High volatility of the cryptocurrency market — the market is subject to sharp price swings that are hard to predict with standard analytical methods, creating significant risks for traders and investors.
Limited capabilities of traditional technical analysis — TA is based on historical data and does not always account for sharp changes caused by fundamental events or actions of major players.
Influence of news and social media — the crypto market heavily depends on social signals. Posts by influencers, media, and news events can instantly affect asset prices, making manual trading ineffective.
Human factor — emotional mistakes, irrational behavior, and subjective decisions often lead to losses. Without a strict strategy, people tend to panic sell and make impulsive buys.
Our solutions: We apply a hybrid approach, combining AI agents for analytics and forecasting with trading bots for automatic execution of strategies. This allows us to:
Minimize errors in analysis and decision-making:
AI agents analyze price charts, trading volumes, order book structure, and liquidity.
Recurrent neural networks (LSTM, GRU) and transformers (BERT, GPT-4) are used to forecast market movements.
Assess social and fundamental data in real time:
NLP models analyze the sentiment of news, tweets, and Telegram messages to identify trends.
“Key market drivers” affecting asset prices are identified (e.g., statements by major investors, regulatory actions).
We use our own databases of users with high influence on the price of specific tokens.
Optimize trading strategies:
Historical patterns are analyzed and compared with current conditions.
Estimate the probability of trend continuation using Bayesian models:
Automatically execute strategies with trading bots: elimination of human factor in entering/exiting positions, scalping, arbitrage, volatility trading, adaptive algorithms with stochastic optimization.
How it works? Data processing structure:
AI agents: analyze data, detect anomalies, forecast trends.
Trading bots: execute orders, manage risks, control liquidity.
Crypto exchange APIs: for fast order execution.
Social media APIs and parsers: Twitter, Telegram, Reddit, etc.
News aggregators.
NLP analysis: filter false signals, assess news sentiment.
Stochastic models: forecast short-term price movements.
Monetization:
Main source of income — open-source solutions for creating your own AI bots (AI agents) that earn from trading.
Subscription model for ready-made AI agents.
Liquidity and price support:
LP formation on DEX.
Users can top up the pool by purchasing tokens.
Staking with coins purchased on DEX.
Staking options:
1 month lock period
3 month lock period
6 month lock period
Rewards available immediately
Staking allows users to earn additional income while reducing immediate selling volume. Funds are used for trading by AI agents and bots, and income is used to pay rewards.
Periodic token burning.
3.3. Uniswap Liquidity Pool
AIISAAC/BNB pool on Uniswap v3 and v4 with concentrated liquidity (±25%).
Periodic buy-back: 40% of swap fees go to repurchase AIISAAC from the market.
Purchased tokens distribution: 70% to AIISAAC stakers; 30% burned. This creates sustainable demand for AIISAAC and supports liquidity.
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