Discover i10X AI agents for stock market research, signal discovery, backtesting support, portfolio monitoring, and trading workflow automation—built to help beginners and active traders evaluate opportunities faster while managing risk responsibly.
i10X replaced our five-tool stack and cut daily research from three hours to twenty minutes while lifting win rate 18%.
We slashed overlapping SaaS fees by forty percent and now rebalance portfolios in half the time with i10X agents.
Context-switching used to waste twelve hours weekly; i10X unified signals, backtests, and execution and boosted Sharpe 0.4.
Один Superagent и специализированные субагенты для каждой задачи.
You describe your strategy, market focus, and budget; i10X turns them into a clear trading workflow.
You choose risk limits, alerts, and paper-trading options; i10X configures safeguards and evaluation criteria.
You launch the Super Agent; i10X scans data, tests signals, and prepares actionable trading insights.
You review results and feedback; i10X refines signals, backtests changes, and updates your workflow.
Создано под конкретные задачи, которые люди решают каждый день.
| Возможность | Superagent | Отдельные инструменты |
|---|---|---|
| Setup and integration time | One platform can be configured once to coordinate research, signal review, reporting, and follow-up workflows across connected data sources. | Each tool usually needs separate account setup, data connections, alert rules, permissions, and testing before it fits the workflow. |
| Number of tools required | Consolidates agent workflows, data handling, and task execution in a single workspace instead of requiring separate scanners, alerting apps, spreadsheets, and automation tools. | A typical stack may include separate tools for charting, backtesting, alerts, portfolio tracking, news sentiment, and task automation. |
| Cross-channel data consistency | Uses shared context and centralized workflow state, reducing duplicate records and mismatched assumptions across research, alerts, and reports. | Data and outputs often live in separate systems, so users must reconcile differences in tickers, timestamps, assumptions, and signal definitions. |
| Workflow automation coverage | Can chain multi-step tasks—such as monitoring inputs, summarizing signals, routing reviews, and generating updates—without manually passing data between apps. | Most tools handle one slice of the process well but require manual exports, copy-paste, or third-party automation to complete end-to-end workflows. |
| Ongoing operating cost | Typically reduces duplicate subscriptions and integration maintenance by replacing several narrow tools with one broader platform. | Costs can add up across subscriptions, market-data fees, API usage, and time spent maintaining integrations. |
Реальные промты, которые можно скопировать в агента выше.
Act as an AI stock trading tools analyst. I want to choose a free or freemium AI stock trading platform for learning, paper trading, alerts, and strategy testing. Compare suitable options based on: free-tier availability, real-time or delayed data, AI signal generation, backtesting, broker/API integrations, paper trading, portfolio tools, usability for beginners, limitations, and upgrade costs. My trading style is [day trading / swing trading / long-term investing], my experience level is [beginner / intermediate / advanced], my market is [US stocks / ETFs / global stocks], and my risk tolerance is [low / medium / high]. Create a ranked shortlist, explain the best use case for each tool, identify hidden costs or limitations, and recommend a safe onboarding plan that starts with paper trading. Do not provide personalized financial advice or guaranteed-return claims.
A ranked comparison of free or freemium AI stock trading tools, including feature-by-feature evaluation, best-fit recommendation by trader profile, limitations of free plans, upgrade considerations, and a conservative onboarding roadmap using paper trading before real capital.
Act as a quantitative trading assistant. Help me design and evaluate a beginner-friendly AI-assisted stock trading strategy using only free or freemium data and tools. The strategy should focus on [momentum / mean reversion / trend following / sentiment-assisted signals] for [stocks/ETFs] over a [daily / hourly / weekly] timeframe. Define the hypothesis, required indicators or features, entry rules, exit rules, stop-loss logic, position sizing, and risk controls. Then create a backtesting plan that includes data requirements, train/test split, walk-forward validation, benchmark comparison, metrics such as Sharpe ratio, max drawdown, win rate, profit factor, and common overfitting checks. Include a paper-trading checklist before any live trading. Make the response educational and avoid promising profits.
A complete AI-assisted stock trading strategy blueprint with defined rules, data inputs, indicators, backtesting methodology, validation metrics, overfitting safeguards, and a paper-trading readiness checklist suitable for educational use and strategy research.
Act as a trading operations and risk management assistant. Build a free AI stock trading monitoring workflow for a retail trader who wants to use AI signals without fully automating live trades. The workflow should include daily market scan steps, watchlist creation, AI alert review, confirmation with technical and fundamental checks, trade journal fields, paper-trading execution, stop-loss and take-profit planning, portfolio exposure limits, and weekly performance review. Include a simple dashboard layout using free tools such as spreadsheets, charting platforms, broker paper accounts, and alert systems. Add risk warnings for model error, market volatility, slippage, delayed data, and emotional decision-making. Do not recommend specific trades; focus on process and risk control.
A practical AI stock trading operations workflow that helps users monitor signals, validate trade ideas, manage risk, track performance in a journal, and review results weekly using free or low-cost tools without relying on fully automated live execution.
Справка
Отдельные решения, закрывающие часть этого сценария. Агент выше справляется со всеми ними в одном диалоге.