Guide • MultiLaunchess
How MultiLaunchess Helps You Earn in Web3 and Crypto
MultiLaunchess is a unified ecosystem for working with opportunities across crypto markets and Web3. At the center of the trading product are AI agents for market analysis and automated trading: they can scan the market, discover and analyze trading setups, build a trading plan, and open positions within configured conditions and risk limits. AI Screener, Crypto Balls, and Trader Journal complement that workflow. For Web3, the platform provides browser profiles, scripts, and bots for airdrops, retrodrops, testnets, and social activity. Instead of assembling separate services, users get one working environment for trading, analysis, and automation.
Trading and Web3 in one ecosystem
Crypto work rarely fits into a single tool. Traders need market data, setup discovery, risk controls, and performance statistics. Web3 workflows add browser profiles, testnets, airdrops, retrodrops, scripts, and social activity.
MultiLaunchess brings these areas into one ecosystem without mixing their responsibilities. The trading side is built around AI agents and crypto market-analysis tools. The Web3 side focuses on browser profiles, automation workflows, scripts, and bots. Users can choose the workflow they need while staying inside one product ecosystem.
Trading
- AI trading agents and automated mode;
- trading setup discovery and analysis;
- AI Screener, signals, charts, liquidity densities, and levels;
- Trader Journal, PnL, and performance statistics.
Web3
- airdrops, retrodrops, and testnets;
- browser profiles;
- scripts and bots;
- scheduling, statuses, history, and execution logs.
AI Agent Trader: AI agents for analysis and automated trading
The main new focus of MultiLaunchess is not simply AI analytics, but AI trading agents that can operate in automated mode. The system scans the market, selects relevant setups, and sends them through a structured analysis flow.
The analysis produces a trading plan with direction, entry, Stop Loss, and Take Profit. Before execution, the system applies user-configured trading constraints and risk rules. If the required conditions are satisfied, the system can open a position automatically without a separate manual confirmation.
Automated mode
- market scanning and setup discovery;
- AI analysis of detected opportunities;
- trading-plan generation;
- risk-constraint validation;
- automatic position opening when conditions are met.
Manual mode
- select a specific trading instrument;
- run AI analysis on demand;
- review direction, confidence, and the trading plan;
- confirm the trading action yourself.
AI Screener: independent crypto market analysis
AI agents do not remove the option to verify the market yourself. AI Screener complements the agent workflow with charts, quotes, and tools for deeper review of a trading situation.
Available tools
- multiple charts and quotes;
- volatile-instrument discovery;
- liquidity densities and key levels;
- LLM signals;
- Telegram alerts.
How to use it
- verify setups found by AI agents;
- screen instruments independently;
- analyze price action and liquidity areas;
- use signals as an additional analysis input.
Trader Journal and Crypto Balls: context before and after a trade
Systematic trading requires more than a single setup. You need both broad market context and a clear view of your own results. MultiLaunchess adds two dedicated tools around the agent workflow.
Trader Journal
Review actual trades and performance through PnL, win rate, profit factor, a trade calendar, and statistics across selected periods.
Crypto Balls
View crypto market movement in a visual format and quickly spot assets that stand out over the selected period.
Together, these tools create three layers: AI agents discover and analyze setups, AI Screener supports deeper market verification, and Trader Journal helps review the trading result after execution.
Airdrops, retrodrops, and testnets: Web3 automation remains part of the platform
A trading-first product focus does not mean dropping Web3. MultiLaunchess still automates repeatable workflows around airdrops, retrodrops, testnets, and social activity through prepared scenarios.
Users select browser profiles, run a supported workflow manually or on schedule, and monitor execution through statuses, history, and logs. Standard use of prepared features does not require writing custom code.
What can be automated
- testnet workflows;
- retrodrop workflows;
- supported airdrop scenarios;
- social activity through bots.
How execution is controlled
- profile selection before launch;
- manual or scheduled execution;
- execution statuses;
- history and logs.
The Windows app as a Web3 automation workspace
The desktop app should not be treated as a replacement for the entire trading side of MultiLaunchess. Its main role is to provide a local workspace for browser profiles, scripts, bots, and Web3 workflows while keeping users inside the broader ecosystem of trading and market-analysis products.
Inside the Windows app
- browser profiles;
- scripts and bots;
- Web3 workflows;
- scheduling, statuses, and logs.
Inside the broader ecosystem
- AI Agent Trader;
- AI Screener;
- Crypto Balls;
- Trader Journal.
Why MultiLaunchess can help users earn
MultiLaunchess does not generate profit by itself and cannot guarantee a result. Its practical value is operational: the platform reduces manual work, combines data and tools, helps users discover and verify trading opportunities faster, and automates Web3 processes that would otherwise require separate services.
For trading
- automated setup discovery and AI analysis;
- trading plans and risk constraints;
- screening and independent market-analysis tools;
- trade tracking and performance review.
For Web3
- fewer repetitive manual actions;
- multi-profile workflows;
- scheduled scripts and bots;
- history and logs for execution visibility.
The result is less time spent switching between services and handling technical routine, and more time available for strategy selection, performance review, and working with market and Web3 opportunities that match the user's approach.
FAQ
Can MultiLaunchess AI agents trade automatically?
Yes. In automated mode, AI Agent Trader can scan the market, analyze setups, build a trading plan, validate configured risk constraints, and open a position without separate user confirmation when the required conditions are met.
Can I use AI analysis without automated trading?
Yes. In manual mode, you can select an instrument, run AI analysis, review direction, confidence, and the trading plan, and decide on the trading action yourself.
Do I need programming skills?
No. Core trading tools, prepared Web3 workflows, scripts, and bots are available through the MultiLaunchess interface without requiring custom code for standard use.
Is MultiLaunchess now only about trading?
No. Trading and AI agents are the primary product focus, but Web3 automation remains a full part of the platform: airdrops, retrodrops, testnets, browser profiles, scripts, and bots.
Does the platform guarantee profit?
No. MultiLaunchess provides analysis, automation, and control tools. Trading and Web3 results depend on market conditions, strategy, risk settings, and user decisions.
Conclusion
MultiLaunchess is one ecosystem for trading, crypto market analysis, and Web3 automation. The core trading workflow is built around AI agents that can discover and analyze setups and operate in automated mode within configured risk limits.
AI Screener, Crypto Balls, and Trader Journal complement agent-based trading with independent market analysis and performance statistics. The Web3 side keeps browser profiles, airdrops, retrodrops, testnets, scripts, bots, scheduling, and execution logs.
That combination of automation, analysis, and a unified workspace helps users move from opportunity discovery to action faster and work more systematically across crypto and Web3 — without promising guaranteed profit and without forcing users to assemble every workflow from separate services.
Scripts, bots, and browser profiles
The MultiLaunchess Windows app works with browser profiles from supported anti-detect browsers through API integrations. Connected profiles become the working environment for Web3 workflows, scripts, and bots.
Social automation includes Discord and Twitter scenarios such as messages and conversations between profiles, publishing, and reactions. This centralizes multi-profile work instead of requiring constant switching between separate windows and services.