I. New Yield Model

Upgrade Time: 00:00–03:00 (UTC+8), August 24, 2025

24-Hour Entrustment

• Daily Yield: 0.6%

• Limit per Account: 100–1000 USDT

• Redemption supported after 24 hours (no fee)

15-Day Entrustment

• Daily Yield: 0.8%

• Limit per Account: 100–5000 USDT

30-Day Entrustment

• Daily Yield: 1.0%

• Limit per Account: 100–10000 USDT

90-Day Entrustment

• Daily Yield: 1.2%

• Limit per Account: 100–20000 USDT

Notes:

• Only the 24-hour entrustment is free of fees and without a withdrawal limit.

• All other periods incur a 5% fee. Withdrawals must be in multiples of 10 USDT.

II. Referral Rewards

• Direct referral of 1 active account: earn 10% of 1st-level static income

• Direct referral of 2 active accounts: earn 10% of 2nd-level static income

• Direct referral of 3 active accounts: earn 10% of 3rd-level static income

• Direct referral of 4 active accounts: earn 10% of 4th-level static income

• Direct referral of 5 active accounts: earn 10% of 5th-level static income

• Direct referral of 6 active accounts: earn 5% of 6th-level static income

• Direct referral of 7 active accounts: earn 5% of 7th-level static income

• Direct referral of 8 active accounts: earn 5% of 8th-level static income

• Direct referral of 9 active accounts: earn 5% of 9th-level static income

• Direct referral of 10 active accounts: earn 5% of 10th-level static income

III. Guild System

• 1-Star Guild: 500 USDT personal entrustment, 10,000 USDT team performance. Rewards: 10% of unlimited team static income.

• 2-Star Guild: 800 USDT personal entrustment, 50,000 USDT team performance. Rewards: 18% of unlimited team static income.

• 3-Star Guild: 1000 USDT personal entrustment, 200,000 USDT team performance. Rewards: 26% of unlimited team static income.

• 4-Star Guild: 1500 USDT personal entrustment, 500,000 USDT team performance. Rewards: 34% of unlimited team static income.

• 5-Star Guild: 2000 USDT personal entrustment, 1,000,000 USDT team performance. Rewards: 42% of unlimited team static income.

• 6-Star Guild: 3000 USDT personal entrustment, 3,000,000 USDT team performance. Rewards: 50% of unlimited team static income.

• 7-Star Guild: Requires directly referring 3 six-star nodes, with no additional team performance requirement. Rewards: 50% weighted average share of all network withdrawal fees.

IV. Core Upgrades

• Withdrawals are processed in real-time via smart contracts, with confirmation time under 3 seconds.

• Smart Money copy-trading: when market volatility exceeds 15%, automatic emergency redemption protection will be triggered.

V. Execution Instructions

• Historical entrustment users will have their contracts migrated after the system upgrade, with a new 30-day term. Principal and interest will be redeemed in full after 30 days.

• Estimated upgrade duration: 2–3 hours. During this period, do not perform any operations, especially deposits or withdrawals.

• Any pending withdrawals will be converted into account balance. After the upgrade, withdrawals will arrive instantly.

FX Operations DepartmentAugust 23, 2025

With assets spread across Ethereum, Solana, BNB Chain, Arbitrum and more, investors need a consolidated view to evaluate performance, manage risk, and simplify tax reporting.

While spreadsheets can offer some control, they are time-consuming and error-prone. Automated portfolio trackers have therefore become the preferred choice for most investors. These platforms aggregate wallet and exchange data in real time, support DeFi and NFT holdings, and provide performance analytics, alerts, and tax tools.

In the DeFi ecosystem, tracking multi-chain portfolios is not just about visibility — it’s the foundation for risk management, compliance, and better decision-making. With the rise of Layer 1 and Layer 2 solutions, investors often hold assets across multiple networks, making portfolio consolidation essential.

Why Multi-Chain Portfolio Tracking Matters

In traditional finance, portfolio tracking is straightforward: custodians, broker accounts, and unified statements make it easy to see asset allocation, returns, and risks.

But in crypto, things are different:

1.Diversified Asset Classes

·Traditional markets mainly have stocks, bonds, funds. On-chain, it’s far more complex:

·Stablecoins (USDT, USDC) for liquidity and hedging

·DeFi LP tokens representing liquidity positions

·Borrowing/lending debts that need liquidation monitoring

·NFTs and RWAs (tokenized real-world assets) adding new dimensionsNo unified dashboard exists to track them all.

2. Complex Trading Behavior

On-chain activity is not just “buy and sell.” Arbitrageurs may execute multi-hop operations — cross-chain lending, DEX swaps, option hedging — within minutes. Looking only at wallet balances gives little insight into real fund flows.

3. Regulatory & Compliance Challenges

With more countries requiring tax reporting on crypto income, especially across jurisdictions, investors need a full tracking view to evaluate obligations accurately.

Thus, multi-chain portfolio tracking is not just about visibility — it is essential for risk control, compliance, and strategy execution.

Manual Tracking: From Basics to Bottlenecks

Early investors often used Excel/Google Sheets to track:

·Wallet addresses and token holdings

·Manual input of entry prices and sizes

·Calculating unrealized P&L based on market data

This works at small scale, but quickly breaks down:

·No real-time updates

·High error rates, especially with LPs, staking, derivatives

·No cross-chain aggregation

For active traders, manual tracking means sacrificing efficiency

Automated Tracking & On-Chain Behavior Analytics

As the market matured, automated portfolio trackers emerged, powered by APIs and on-chain parsing.

Core values include:

·  Cross-chain integration: Ethereum, BNB Chain, Solana, etc.

·  Protocol recognition: Aave, Uniswap, Curve — auto-detecting staking & lending positions

·  Real-time updates: instant balance & price sync

·  P&L analytics: understanding cashflows & yields

But the real breakthrough lies in On-Chain Behavior Analytics:

Not just “my assets,” but “what smart money is doing.”

·Which wallets consistently profit?

·Are whales accumulating a new token?

·Is big capital flowing into a new protocol?

This enables investors to capture opportunities before the news cycle catches up.

The AI Shift: From “Tracking” to “Execution”

Seeing data is not enough.Crypto markets move in milliseconds — without automated execution, opportunities vanish.

AI-driven quant systems offer:

·Pattern recognition: spotting behaviors of high-win wallets (buying bottoms, breakout entries, arbitrage)

·Trend forecasting: combining on-chain flows with news sentiment

·Auto-execution: AI directly triggers trades once conditions are met

·Dynamic risk control: adjusting strategies under volatility, gas spikes, liquidity drops

This is a paradigm shift:From “human monitors → decides → executes”To “AI learns → executes → optimizes.”

FortunaX AI: The Next-Gen AI Trading Engine

FortunaX AI is more than a portfolio tracker — it’s a full AI-powered quant engine.

Key strengths:

·AI Quant Models: machine & deep learning to parse on-chain trades, sentiment, liquidity, optimizing portfolios in real time

·Ultra-Fast Execution: Agent AI enabling millisecond arbitrage & high-frequency cross-chain strategies

·Arbitrage Engine: volatility models capturing CEX/DEX spreads & executing neutral hedges

·Smart Risk Control: automatic stop-loss, slippage & liquidity risk detection

All of this is wrapped into a single intelligent engine, so users don’t need to be quants to access institutional-grade tools.

Blockchain transparency gives everyone the same starting point.

But the real edge comes from who can turn transparent data into action faster and smarter.

With stablecoins expanding, ETFs unlocking capital, and regulations clarifying, crypto is entering a new growth cycle.

In this cycle, humans rely on emotion.

AI relies on data.

FortunaX AI’s mission: write “smart money logic” directly into every user’s wallet.

You don’t need to be a pro quant.

You just need to let AI decide for you.

Whether it’s Ethereum’s Layer 2 scaling solutions (L2) or the rapid development of cross-chain bridges, liquidity has been shifting from centralized to decentralized, and trading opportunities have been quietly changing.

This shift in structure not only affects traders’ strategies but has also given birth to a new competitive arena—cross-chain arbitrage.

The Rise of the Cross-Chain Ecosystem

In the early days of the crypto world, most traders congregated on a single chain, such as Ethereum or Binance Smart Chain (BSC).

This meant liquidity was concentrated, price spreads were small, and arbitrage opportunities were limited.

However, with the:

·Maturity of L2 networks like Polygon, Arbitrum, and Optimism,

·Rise of multi-chain ecosystems such as Avalanche, Fantom, and Solana,

·Breakthroughs in cross-chain bridge technologies like Stargate, LayerZero, and Wormhole,

Funds are no longer confined to operating on a single chain but flow rapidly across multiple ecosystems.

This distributed liquidity naturally creates price differences and time gaps in trading, laying the foundation for cross-chain arbitrage.

A New Arbitrage Landscape: More Than Just Price Gaps

Traditional arbitrage logic is simple:

Buy in the market where the price is low, sell in the market where the price is high, and pocket the difference.

But in the multi-chain era, arbitrage opportunities are more complex and diverse:

·DEX/CEX Cross-Market Arbitrage

Price differences for the same asset between decentralized exchanges (DEX) and centralized exchanges (CEX).

·Cross-Chain DEX Arbitrage

Price discrepancies for the same token on DEXs across different chains, e.g., USDC price deviations between Arbitrum and BSC.

·Liquidity Migration Arbitrage

When liquidity moves to a new chain, early participants often enjoy lower slippage and higher yields.

·Volatility Arbitrage and Options Hedging

Differences in volatility across markets can be exploited through delta-neutral strategies executed on different chains.

The common characteristics of these opportunities are:

·Extremely short windows—sometimes only a few seconds or even milliseconds.

·High execution requirements—requiring synchronized multi-chain data, cross-chain asset transfers, and real-time order placement.

·Non-negligible risks—network congestion, gas fee spikes, and slippage changes can all erode profits.

The Bottleneck of Manual Arbitrage

Many traders ask: if these arbitrage opportunities exist, why isn’t everyone doing them?

The reality is that manual arbitrage is nearly impossible in a multi-chain environment.

Manual operations face three fatal issues:

·Speed disadvantage:

Price differences can be captured and closed by bots within seconds; humans cannot react faster.

·Information delay:

Collecting and parsing multi-chain data requires technical infrastructure, and manual monitoring is far slower than programmatic listening.

·Execution risk:

Cross-chain transfers have confirmation times, making it hard for humans to precisely control execution prices and slippage during delays.

This has set the stage for AI-powered automated arbitrage systems.

How AI is Redefining Cross-Chain Arbitrage

AI’s involvement in cross-chain arbitrage is not just about “placing orders faster,” but about optimizing the entire process—data, prediction, execution—turning arbitrage into a systematic and sustainable strategy.

·Real-Time On-Chain Data Monitoring

Through cross-chain nodes and data aggregators, AI can detect changes in asset prices and liquidity across chains in milliseconds.

·Price Gap and Path Prediction

AI models not only identify current price gaps but also predict their evolution in the coming seconds, locking in optimal execution paths in advance.

·Automated Execution and Risk Control

When arbitrage conditions are met, AI simultaneously places orders across multiple chains and exchanges, dynamically adjusting parameters like gas fees and slippage to maximize profits.

This approach upgrades arbitrage from a “speed race” to a “system capability race,” with competition between human traders and bots now being redefined by AI.

FortunaX AI: The New Weapon for Cross-Chain Arbitrage

In this new landscape, FortunaX AI delivers an AI-driven cross-chain arbitrage engine directly to regular users, allowing them to participate in this high-barrier field without building complex trading infrastructure.

Advantages of FortunaX AI:

·Multi-Chain Real-Time Tracking: Covers major public chains and L2 networks, synchronizing price and liquidity data at millisecond speed.

·Automated Strategy Execution: From detecting price gaps to completing trades, the entire process is fully automated without human intervention.

·Adaptive Risk Control System: Dynamically adjusts trade size and path based on network congestion, gas fluctuations, and liquidity changes.

·Quantitative Arbitrage Models: Combines volatility prediction with cross-market hedging strategies to achieve a more stable return curve.

Previously, such systems were exclusive to institutions and elite arbitrage teams; now, FortunaX AI is making them available to ordinary traders.

The prosperity of the cross-chain ecosystem has brought broader arbitrage opportunities but also raised execution thresholds.

Manual trading is gradually losing its place in this new environment, while AI’s systematic arbitrage capabilities are becoming the new competitive barrier.

For regular users, capturing the dividends of the multi-chain era no longer requires building high-frequency trading systems or monitoring the markets 24/7.

With AI-driven platforms like FortunaX AI, “multi-chain arbitrage” can be transformed from a secret weapon for the few into a public strategy for everyone.

FortunaX AI — making cross-chain arbitrage truly within reach.

But as powerful as they were, these models struggled to transition into the world of blockchain. DeFi presented an open, decentralized landscape—but it also brought an entirely new set of structural challenges that rendered traditional quant logic ineffective.

Why didn’t quant trading work on-chain?

First, the data architecture is entirely different. Blockchain data is transparent by nature, but also fragmented, volatile, and hard to process in real time. There's no centralized API feed—only endless streams of raw, ever-evolving data. Second, market structure in DeFi is fractured. There’s no centralized order book; liquidity is scattered across dozens of DEXs and protocols. Arbitrage is disrupted by slippage, MEV attacks, and unstable liquidity. Third, execution is costly and slow. Every on-chain transaction requires gas fees and confirmation time, which makes traditional high-frequency logic nearly impossible to deploy.

These fundamental differences demand a new kind of quantitative logic—one not based on rules and indicators, but on behavioral prediction. This is where AI changes everything.

As on-chain data analytics infrastructure matured and AI modeling became more capable, a new paradigm began to emerge in DeFi:Trading strategies are no longer just about “what the chart says”—they’re about who is acting, what they’re doing, and why they’re doing it.

This shift focuses on the behavioral layer of the blockchain.Instead of staring at price charts, advanced systems now monitor the behavior of proven profitable wallets—those that have consistently outperformed over time. AI models analyze these wallets across dimensions: what assets they buy, when they move, how long they hold, what kind of ROI they generate. The goal isn’t to copy trades blindly, but to model repeatable, high-conviction patterns.

From there, AI systems learn to generalize and replicate specific behaviors—such as front-running low-float tokens, buying during panic dips, or positioning ahead of protocol upgrades. The key is that these are not signal-based guesses, but statistically-backed, behavioral strategies extracted from real winners.

And most importantly—execution is now fully automated.Modern AI trading systems don’t stop at analysis. They also act.Signals are instantly executed on-chain, with built-in profit-taking, stop-loss mechanisms, and adaptive gas optimization. As the market evolves, so do the models—continuously learning, updating, and refining.

This is not about optimizing indicators or shaving milliseconds off reaction times.It’s about replacing manual decision-making entirely—with a system that sees faster, thinks deeper, and never sleeps.

FortunaX AI: Building the First Fully On-Chain, AI-Powered Strategy Engine

This is the evolution that powers FortunaX AI—a next-generation DeFi trading platform built around AI-native logic. Its core architecture includes:

·AI Wallet Tracking Engine: Constantly scans the blockchain for whale wallets and high-ROI smart money, and evaluates their behavior in real time.

·Strategy Chain Reconstruction System: Breaks down successful wallet behavior into repeatable, modular trading logic.

·Millisecond-Level Risk Control Module: Reacts instantly to price spikes, gas fee surges, liquidity drops, and more—adapting strategy parameters on the fly.

Unlike conventional tools, FortunaX AI isn’t a dashboard or a trading terminal. It’s a self-learning, self-executing, and self-adjusting AI system.Users don’t need trading experience or quant knowledge. Once connected, the system does the thinking and executing—end to end.

In the high-speed world of crypto, emotion is a liability.Markets don’t wait. Alpha doesn’t knock twice. Humans hesitate—AI doesn’t.

When volatility unfolds in milliseconds, the winners will be the ones who act first, not guess best.FortunaX AI gives everyday users access to that level of edge—by turning AI into your own on-chain execution engine.

You don’t need to become a quant expert.You just need to let AI make smarter decisions—faster.

FortunaX AI — Make intelligent trading your default mode.

But in the blockchain world, every transaction is public. Wallet behaviors, contract interactions, capital inflows and outflows— all leave immutable traces on-chain.

This has given rise to a new field of data science: On-chain Behavior Analytics.

What is on-chain behavior analytics?

It refers to the analysis of historical on-chain wallet activity— including changes in asset composition, trading habits, and contract interaction frequency— in order to:

1. Identify truly profitable accounts* *

   Not every large wallet is smart money.Some are exchange cold wallets, others are high-risk, short-lived leveraged accounts.

   Only by analyzing an address’s long-term PnL curve, asset shifts, holding duration, and win-rate distribution can we determine whether it has replication value.

2. Gauge market sentiment and trends* *

   When multiple whale addresses begin converging on a particular protocol or token, or when many long-term holders suddenly become active, it often signals: a new market trend is forming, a new project is about to ignite liquidity, or big capital is reallocating positions.

   This is faster and more accurate than “reading the news.”

3. Track arbitrage paths and strategic chains* *

   On-chain arbitrageurs often execute a full trading loop through multiple wallets and protocols (e.g. borrowing from Pool A → buying in Pool B → selling in Pool C).

   By mapping these transaction graphs, we can identify such “strategy chains” and determine whether an arbitrage window still exists.

4. Identify bottom-picking behavior early* *

   Some high-win-rate addresses consistently enter at precise moments— for example, at technical rebounds after sharp price drops. These actions can be used to train models to replicate similar signals.

5. Avoid risks and fake hype traps* *

   Seemingly “explosive” on-chain activity is sometimes driven by wash trading, wallet self-transfers, or coordinated volume loops.

   On-chain behavior analytics helps identify false activity and protect users from short-term manipulation traps.

   It is a form of trend insight grounded in facts, not sentiment or social hype.

   Most people can see the data—but can’t read it.

   Though this data is publicly available, on-chain behavior analysis requires more than just “charting tools”. It needs:

   ·real-time monitoring of massive transactional data

   · behavioral clustering across thousands of wallet addresses

   · win-rate modeling and strategy reconstruction engines

   · seamless linkage between decision logic and execution systems

   This goes far beyond “checking Etherscan yourself”.

   FortunaX AI: Stop just watching. Start following

   FortunaX AI has built an intelligent on-chain behavior tracking system that not only reads the data—but understands the patterns behind it:

   · AI analyzes truly profitable wallet behavior: filters out short-lived, high-risk accounts and focuses only on wallets with sustained positive performance

   · Real-time tracking of whale/institutional trade paths: automatically detects transaction chains and reconstructs “arbitrage intent”

   · Strategy engine replicates key actions: buys, arbitrage, and exits in sync with smart money—fully automated

   You no longer need to interpret complex data. The system already identifies, judges, and acts for you.

   Blockchain transparency is the opportunity— but the real advantage lies in who can extract signals and act efficiently.

   FortunaX AI is using AI, data, and automation to turn this once “pro-level” capability into a strategy engine anyone can use.

   You don’t need to be smart money—you just need to follow it.

   FortunaX AI writes smart money’s moves into your wallet. On-chain transparency is just the beginning— replicating the winners is what matters.

In this high-stakes environment, FortunaX AI stands out with its innovative Clamp Arbitrage Robot, empowering users to seize every millisecond of opportunity in on-chain trading.

What Is MEV? A "Quantum Time Advantage" for Arbitrageurs

MEV refers to the maximum profit that validators or block producers can extract by reordering, inserting, or excluding transactions within a block. At its core, MEV is about this:

whoever can detect a profitable opportunity, insert their transaction, and execute first — wins.

In traditional finance, high-frequency traders rely on server proximity to exchanges for speed advantage.

In blockchain, MEV leverages transaction ordering rights and the predictability of on-chain data.

The FortunaX AI Clamp Arbitrage Robot is a productized, intelligent representation of this concept.

How Does FortunaX AI Leverage MEV for Arbitrage?

The Clamp Arbitrage Robot from FortunaX AI is an AI-powered arbitrage engine purpose-built for DEXs. Its core logic involves:

·Monitoring large trades & slippage anomalies

Real-time scanning of on-chain liquidity pools to detect incoming large buy/sell orders.

·Inserting transactions before and after targets

It places trades both before and after the target transaction: buying in first, letting the target user push up the price, then selling for profit — completing a "sandwich attack" loop.

·Automated strategy execution

All operations are handled by AI agents, eliminating the need for manual monitoring or human decision-making.

This “clamping” arbitrage strategy is particularly effective in high-volume DEXs.

With precise control over trade timing and sequence, FortunaX AI can extract 0.3% to 0.8% profit per opportunity, all executed seamlessly and automatically — without user intervention.

Sniping Opportunities: From Detection to Execution in Milliseconds

The Sniping Bot integrated into FortunaX AI complements the Clamp Arbitrage Robot by enabling not just passive opportunity capture, but proactive positioning before high-volatility events, including:

·Price breakouts when new tokens are listed on DEXs

·Sudden NFT floor price drops or unrecognized rare traits

·Front-running large capital inflows during Launchpad phases

In these highly time-sensitive and volatile situations, traditional users often miss out due to manual lag. FortunaX AI’s AI agent-driven trading system operates with millisecond-level response, making decisions and building transactions even before trades are fully broadcast on-chain — enabling pre-emptive arbitrage.

Who Can Use the Clamp Arbitrage Robot?

FortunaX AI offers two user modes for its MEV-powered bot:

·Self-Directed Mode:

Users can define trading parameters and follow one or multiple verified smart wallets. Ideal for experienced users who want more control.

·Fully Managed Mode:

Users simply stake assets (such as USDT, ETH, or BNB) into the FortunaX AI smart contract. The AI strategy engine handles all arbitrage autonomously, and upon contract maturity, assets are returned automatically to the user’s wallet — perfect for users who prefer a passive income experience.

FortunaX AI Is Democratizing MEV

What FortunaX AI is building is technological equality:

A toolset that once belonged only to a handful of MEV insiders is now wrapped in AI automation, risk management, and user-friendly access — and delivered as an intelligent arbitrage engine for everyone.

The Clamp Arbitrage Robot is not just a piece of code, it’s your AI-powered gateway to yield opportunities hidden in every block.

While others are waiting for signals or staring at charts, FortunaX AI is already executing a precise, profitable trade on your behalf.

In 2025, FortunaX AI, a global intelligent trading platform backed by Ark Invest, Vista Equity Partners, and Evercore ISI, officially launched. Built on cutting-edge artificial intelligence and blockchain infrastructure, FortunaX AI delivers a new generation of automated, intelligent trading experiences for investors worldwide.

At the heart of its strategy is real-time, around-the-clock monitoring of on-chain activity, identifying and replicating the behavior of verified smart money wallets. By following these highly strategic players, users can mirror their trading patterns and gain exposure to similar trends — often before the rest of the market even notices.

However, the downfall of prominent funds like FTX and Three Arrows Capital revealed an uncomfortable truth:

Even smart money can fall short.

FTX’s collapse sent shockwaves through the market, demonstrating that outsized returns mean little without robust risk management.

This is where FortunaX AI raises the bar. Recognizing the limitations of legacy smart money strategies, FortunaX AI introduced a next-generation framework powered by two core engines:

·AI-Driven Quantitative Strategy Engine

Built on machine learning and deep learning architecture, the system continuously analyzes market data, including on-chain transactions, liquidity metrics, and real-time sentiment. It adapts dynamically — optimizing portfolio allocations, balancing risk and reward, and adjusting strategy parameters based on changing market conditions. Whether in a low-volatility bear market or a highly volatile bull run, FortunaX AI evolves with the cycle to ensure consistent profitability.

·Real-Time Multi-Layer Risk Management System

To mitigate sudden market shocks, FortunaX AI employs layered protection:

transaction depth monitoring, slippage prediction, volatility analysis, and dynamic stop-loss/take-profit logic. Every trade undergoes real-time risk evaluation before execution — protecting users from the unpredictable nature of crypto markets.

Beyond tracking, FortunaX AI expands the definition of smart money into an intelligent decision-making loop:

Detection → Analysis → Replication → Optimization → Risk Control → Compounding.

This closed-loop system, driven by adaptive AI agents, allows the platform to continuously refine its strategies through market feedback and learning — creating true self-improving financial intelligence.

To support diverse investor profiles, FortunaX AI offers two flexible modes:

·Self-Directed Mode – Users can configure parameters and activate bots to follow selected wallets and strategies.

·Fully Managed Mode – Stake assets on-chain and let AI execute trades automatically via smart contracts, with access to exclusive strategies and ultra-low latency infrastructure — ideal for hands-off users seeking steady, compounding returns.

At FortunaX AI, we believe the future of finance belongs to those who are equipped — not just the elite.

Our mission is to democratize access to institutional-grade tools and insights, empowering every investor to stand on equal footing in the decentralized world.

Every user is a builder in our ecosystem — and together, we grow toward a more intelligent, accessible, and profitable blockchain economy.

Unlike traditional quant platforms or single-point DeFi tools, FortunaX AI is building a financial infrastructure based on the concept of Agent-as-a-Service (AaaS). Powered by its AI-driven strategy engine, smart money tracking system, on-chain execution framework, and multi-layer risk control model, FortunaX AI enables every user to have a dedicated AI financial assistant — making on-chain finance secure, convenient, and efficient.

Lowering the Barrier — Let AI Think and Act for You

Most crypto investors today still face major challenges: difficulty entering the market, complex operations, and limited risk control. Many struggle to read charts, lack project analysis skills, don’t have time to monitor markets 24/7, or feel uneasy interacting with smart contracts. These are major roadblocks to mass adoption of DeFi.

**FortunaX AI’s mission is to simplify all of this through AI.**Users don’t need a finance background or to configure complicated strategies. Simply authorize the agent system and set your goals — AI will automatically handle portfolio allocation, strategy execution, and risk management.

Core System: A Full-Stack Intelligent Agent from Insight to Execution

FortunaX AI is built on an AI agent architecture and consists of five core modules:

• AI Strategy Engine: Combines deep learning with historical backtesting to dynamically adjust strategy weights, enabling multi-model execution (e.g., high-frequency trading, trend following, arbitrage).

• Smart Money Tracking System: Monitors whale addresses, institutional wallets, and smart contracts in real time — identifying high-probability targets based on capital flow, historical performance, and behavioral patterns.

• Auto Copy-Trading & Arbitrage System: Supports mimicking trades, subscribing to strategy bundles, and allows both custody and customizable parameters. The system handles order placement, take profit/stop loss, and position rebalancing automatically.

• Cross-Chain Asset Management & Execution: Operates across ETH, BNB Chain, Solana, and more — enabling automated bridging, arbitrage routing, and liquidity mining across networks.

• Multi-Dimensional Risk Control: Integrates slippage prediction, depth analysis, sentiment detection, and stop-loss mechanisms to ensure security and efficiency in on-chain operations.

All systems operate on smart contracts, so users retain custody of their assets, and all actions are transparent, verifiable, and tamper-proof.

Intelligent Agents: Beyond Just “Smart Wallets”

While FortunaX AI does offer “smart money replication,” its capabilities go far beyond that. Smart wallets are just one layer of the system — they reflect the platform’s ability to analyze and replicate profitable market behavior.

The real breakthrough lies in the AI agent’s self-learning and adaptive capabilities, allowing it to adjust strategy logic based on market feedback and dynamically balance risk and reward. This makes FortunaX AI not just effective in bull markets, but also able to hedge risks and seek arbitrage in bear markets.

Users can choose between self-directed mode (custom parameters, manually activated bots) or fully managed mode (stake assets on-chain and run automatically), catering to both casual users and professional investors.

Smart Wallets: Entry Point and Ecosystem Node

FortunaX AI’s ambition isn’t to build a single tool, but to create a smart finance infrastructure ecosystem. The smart wallet serves as both the user entry point and a key strategy node in the ecosystem.

Future expansions include:

• Strategy NFTization: High-performing strategies can be tokenized as NFTs, which users can buy to receive revenue shares or trade on secondary markets.

• Social AI Agents like ROBOTDog: Blending strategy execution with social engagement.

• Multi-Strategy Fusion Models: Follow multiple smart wallets or strategy sources simultaneously, with the system auto-balancing risk and reward.

• DAO Governance: Community-driven rating and risk assessment for smart wallet pools and parameters.

The goal is to make the smart wallet not just a bridge between users and AI strategies, but also a critical hub in the AI finance ecosystem.

Let Smart Money Work for You — Let AI Replicate Success

In the rapidly evolving age of intelligent finance, the gap between individuals and institutions is no longer about information asymmetry — it's about tools and agents. FortunaX AI is breaking down this barrier through smart wallets, helping users spot trends, follow momentum, and seize opportunities.

**Smart money is no longer someone else’s advantage — it can become your wallet’s shadow.**FortunaX AI is making this a reality.