[Log in](https://botspot.trade/login?returnTo=%2Fguides&source=global_nav) [Sign up](https://botspot.trade/login?returnTo=%2Fguides&source=global_nav_signup&intent=signup) [Home](https://botspot.trade/) [AI Bootcamp](https://botspot.trade/courses/ai-trading-bootcamp) [AI Agent](https://botspot.trade/ai-agent) [Challenges](https://botspot.trade/challenges) [Marketplace](https://botspot.trade/marketplace) [Trading Competition](https://botspot.trade/hackathon) [Pricing](https://botspot.trade/pricing) # Build, test, connect, and operate trading strategies Follow focused guides for choosing a workflow, turning rules into inspectable code, testing historical evidence, controlling deployment risk, and connecting ChatGPT, Claude, or Codex to supported broker workflows. By [BotSpot editorial team](https://botspot.trade/about#editorial-policy) [Start building in BotSpot](https://botspot.trade/ai-agent) [Compare trading platforms](https://botspot.trade/compare) Research brief Reviewed 2026-08-17 Coverage 3 sections Evidence 4 sources 01 ## Choose a guide by the decision you need to make Start with platform selection when choosing tools. Use build guides to formalize strategy rules, backtesting guides to inspect evidence, and deployment guides to validate broker and operational controls. 02 ## Treat every backtest as evidence with limits Historical results depend on data, timing, costs, fills, parameter choices, and software behavior. Use the linked guides to inspect those assumptions instead of treating one performance number as proof. 03 ## Keep broker access and high-risk actions controlled Broker support, assets, account permissions, paper or live modes, and authentication methods vary. Connect credentials through BotSpot, keep secrets out of prompts, and review high-risk actions through the required approval flow. ## Explore related paths [Choose the workflow, not just the backtest tool Choose among an AI trading workspace, quantitative platform, broker API, or open-source framework by comparing the complete workflow. Explore](https://botspot.trade/guides/automated-trading-platforms) [Build an AI trading bot from testable rules, not a vague prompt Turn a trading idea into explicit rules, inspect AI-generated strategy code, backtest it, test it with paper trading, and prepare it for controlled deployment. Explore](https://botspot.trade/guides/how-to-build-an-ai-trading-bot) [Build an algorithmic trading workflow without writing every line yourself Learn how to describe trading rules in plain English, generate inspectable strategy code with AI, backtest it, and validate it without writing every line yourself. Explore](https://botspot.trade/guides/algorithmic-trading-without-coding) [Backtest an AI trading strategy without mistaking simulation for proof Build a defensible AI strategy backtest by freezing the hypothesis, checking data timing, documenting execution assumptions, and testing robustness. Explore](https://botspot.trade/guides/backtesting-ai-trading-strategies) [Paper trading vs live trading: know what each stage can prove Compare paper and live algorithmic trading, learn what simulations can validate, and use a practical checklist before putting capital at risk. Explore](https://botspot.trade/guides/paper-trading-vs-live-trading) [Best backtesting software depends on your strategy workflow Compare backtesting software for AI-assisted, no-code, chart-based, code-first, and MQL5 workflows using documented features and limitations. Explore](https://botspot.trade/guides/best-backtesting-software) [Backtesting metrics explained without magic numbers Learn how CAGR, volatility, Sharpe, Sortino, drawdown, win rate, profit factor, expectancy, and turnover describe a trading backtest. Explore](https://botspot.trade/guides/backtesting-metrics-explained) [Avoid overfitting a trading strategy before strong backtest results mislead you Reduce backtest overfitting by logging every trial, separating strategy selection from evaluation, preserving unseen data, and testing parameter robustness. Explore](https://botspot.trade/guides/avoid-overfitting-trading-strategies) [Use walk-forward testing to measure repeated out-of-sample behavior Learn how walk-forward testing uses ordered training and test windows to evaluate trading strategies while reducing leakage and overfitting risk. Explore](https://botspot.trade/guides/walk-forward-testing-trading-strategies) [Stop future information from leaking into your backtest Learn how point-in-time data, historical universes, filing timestamps, corporate actions, and indicator alignment prevent false backtest results. Explore](https://botspot.trade/guides/look-ahead-bias-and-data-leakage) [Model slippage, fees, and market impact without making a backtest look safer than it is Learn how to model commissions, bid-ask spreads, slippage, fill timing, liquidity, partial fills, and market impact without inventing universal assumptions. Explore](https://botspot.trade/guides/modeling-slippage-fees-and-market-impact) [Build algorithmic trading risk controls around every order and failure state Design algorithmic trading controls for position sizing, exposure, leverage, order limits, drawdowns, monitoring, broker constraints, and emergency stops. Explore](https://botspot.trade/guides/algorithmic-trading-risk-management) [Connect ChatGPT to your broker through BotSpot Connect ChatGPT to BotSpot through OAuth MCP, verify your supported broker and account mode, and keep every trading action behind explicit approval. Explore](https://botspot.trade/guides/connect-chatgpt-to-your-broker) [Connect Claude to your broker through BotSpot Connect Claude to BotSpot through OAuth, use supported broker context, understand trade approvals, and keep brokerage credentials out of AI prompts. Explore](https://botspot.trade/guides/connect-claude-to-your-broker) [Connect Codex to your broker through BotSpot Configure BotSpot MCP in Codex, keep broker credentials inside BotSpot, inspect trading context, and stage broker orders behind explicit approval. Explore](https://botspot.trade/guides/connect-codex-to-your-broker) ## On this page - 01 Choose a guide by the decision you need to make - 02 Treat every backtest as evidence with limits - 03 Keep broker access and high-risk actions controlled - 04 Explore related paths ## Related resources - [Compare AI trading platforms](https://botspot.trade/compare) - [Explore supported brokers](https://botspot.trade/brokers) - [MCP for Agents](https://botspot.trade/agents) ## Sources - [BotSpot MCP for Agents](https://botspot.trade/agents) - [BotSpot broker connection manifest](https://botspot.trade/.well-known/botspot-manifest.json) - [BotSpot Terms of Service](https://botspot.trade/terms) - [Lumibot documentation](https://lumibot.lumiwealth.com/) Sources verified 2026-08-17. ## BotSpot Research markets, review trades, and work with your broker using AI. ## Product - [AI Agent](https://botspot.trade/ai-agent) - [Strategy Marketplace](https://botspot.trade/marketplace) - [MCP for Agents](https://botspot.trade/agents) - [Plans and Pricing](https://botspot.trade/pricing) - [Enterprise Services](https://botspot.trade/enterprise) ## Learn - [AI Bootcamp](https://botspot.trade/courses/ai-trading-bootcamp) - [Challenges](https://botspot.trade/challenges) - [Live Algo Lab](https://botspot.trade/live-algo-lab) - [Platform Comparisons](https://botspot.trade/compare) - [Trading Guides](https://botspot.trade/guides) - [Blog](https://botspot.trade/blog) ## Company - [About](https://botspot.trade/about) - [Contact](https://botspot.trade/contact) - [Affiliate Program](https://botspot.trade/affiliate) - [Terms of Service](https://botspot.trade/terms) - [Privacy Policy](https://botspot.trade/privacy) - [contact@botspot.trade Email us](mailto:contact@botspot.trade) BotSpot © 2026