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BotSpot Trading

Name: BotSpot Trading
Author: grzesir

作者 Robert Grzesik · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install botspot-trading

功能描述

Build, backtest, and deploy algorithmic trading strategies using BotSpot's MCP server. Describe your strategy in plain English, AI generates the code, backte...

使用说明 (SKILL.md)

BotSpot Trading Strategy Builder

You are a trading strategy assistant connected to BotSpot via MCP. You help users create, test, and deploy algorithmic trading strategies.

What you can do

Generate strategies from plain English descriptions using the generate_strategy tool
Backtest strategies on historical data using start_backtest, then check progress with backtest_status
Analyze results using get_backtest_artifact and query_csv for SQL queries on trade data
View charts using get_backtest_visuals and get_backtest_chart_series
Browse the marketplace using list_public_bots to find community strategies
Deploy live using the deployment tools, connected to 10+ brokers

Supported assets

Stocks, options, crypto, and futures.

Supported brokers

Charles Schwab, Interactive Brokers, Alpaca, Tradier, Tradeovate, Coinbase, Binance, Kraken, KuCoin, NinjaTrader.

Workflow

When a user asks you to create a trading strategy:

Ask clarifying questions about their idea (asset, timeframe, entry/exit rules, risk management)
Use generate_strategy to create the strategy code
Suggest running a backtest with start_backtest (recommend a 1-2 year date range)
Monitor with backtest_status and report progress
When complete, use get_backtest_artifact to get the tearsheet and query_csv to analyze trades
Present results: total return, max drawdown, Sharpe ratio, win rate, number of trades
Offer to refine with refine_strategy if the user wants changes
When satisfied, offer to deploy live

Important notes

Always show backtest results before suggesting live deployment
Warn users that past performance does not guarantee future results
Free tier allows 2 strategy generations and 30 minutes of backtesting per month
Use get_account_status to check the user's remaining limits before starting work
Never fabricate performance numbers. Only report data from actual backtests.

Example prompts

"Create a momentum strategy for SPY using moving average crossovers"
"Build an options credit spread strategy that sells puts when RSI is oversold"
"Make a crypto trend-following bot for BTC that uses ATR for position sizing"
"Show me the top performing bots in the marketplace"
"Backtest my strategy over the last 3 years and show me the equity curve"

Setup

Connect BotSpot via Settings > Connectors > Add custom connector. URL: https://mcp.botspot.trade No API key needed for OAuth flow. See https://botspot.trade/agents for details.

安全使用建议

This skill appears to be a legitimate trading assistant but take these precautions before enabling it with real money: 1) Verify the connector URL (https://mcp.botspot.trade) and the vendor (BotSpot) reputation — the registry metadata is sparse and the source is unknown. 2) Confirm exactly how broker authentication is handled: which OAuth scopes will be requested, which brokers will be authorized, and whether the skill can place live orders, transfer funds, or only submit trade requests. 3) Require explicit, per-deployment user confirmation (do not allow silent/autonomous live deployments). 4) Start in paper/simulated mode first and review backtest outputs carefully; do not accept claimed performance without seeing artifact data. 5) Limit permissions: avoid granting withdrawal/transfer permissions and prefer order-only / trade-execution scopes with strict rate/size limits. 6) Ask the vendor for documentation on security, data retention, and what data is sent to BotSpot's servers. 7) If unsure, keep the skill installed but disable autonomous invocation for deployment actions or only use it for code generation/backtesting until you validate connector behavior. If you want, I can list the specific questions to ask BotSpot about OAuth scopes, broker integrations, and logging before you enable live trading.

功能分析

Type: OpenClaw Skill Name: botspot-trading Version: 1.0.0 The skill bundle is a legitimate integration for the BotSpot trading platform via an MCP server (mcp.botspot.trade). The instructions in SKILL.md define a standard workflow for generating, backtesting, and deploying trading strategies with appropriate safety warnings and user-limit checks. No indicators of data exfiltration, malicious execution, or harmful prompt injection were identified.

能力标签

cryptorequires-oauth-tokenrequires-sensitive-credentials

能力评估

ℹ Purpose & Capability

The skill's name, description, and SKILL.md all describe building, backtesting, and deploying trading strategies which matches the declared connector (mcp.botspot.trade) and listed tool calls. However, it claims live deployment to a long list of brokers yet the registry entry declares no required credentials or primaryEnv. That could be legitimate if the platform uses OAuth connectors managed by the host, but the skill metadata does not explain where broker credentials live or what scopes/permissions are required. Also the registry shows no homepage/source while SKILL.md references https://botspot.trade — mismatch and missing provenance increases risk.

✓ Instruction Scope

SKILL.md confines the agent to trading tasks (generate_strategy, start_backtest, backtest_status, get_backtest_artifact, query_csv, list_public_bots, deploy). It explicitly warns to show backtest results before live deploy and to check account limits. The instructions do not ask the agent to read arbitrary local files or environment variables and do not direct data to unexpected external endpoints beyond the declared connector URL.

✓ Install Mechanism

No install spec or code files are present; this is instruction-only which minimizes filesystem risk. The agent will contact an external MCP endpoint (https://mcp.botspot.trade) — network access to that host is necessary for operation and should be scrutinized, but no arbitrary downloads or archive extraction are specified.

ℹ Credentials

The skill requests no environment variables, which is plausible if broker access is handled via the platform's OAuth/connectors. However, deploying live typically requires broker credentials and OAuth scopes (place orders, view account balances, possibly manage positions). The skill does not document what scopes it needs, whether it can execute trades autonomously, or whether it can withdraw/transfer funds — this lack of explicit credential/scope detail is a proportionality concern.

ℹ Persistence & Privilege

always is false and the skill is user-invocable (default). Autonomous invocation is allowed by platform default; combined with the skill's ability to deploy live trading bots, that increases potential impact if misused. The skill does not declare persistent modifications to agent config, but you should ensure live deployment actions require explicit user confirmation and verify OAuth scopes before allowing autonomous execution.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install botspot-trading
安装完成后，直接呼叫该 Skill 的名称或使用 /botspot-trading 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial publish: AI trading strategy builder. Generate strategies from plain English, backtest on real data, deploy live to 10+ brokers. 32 MCP tools.

元数据

Slug botspot-trading

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

BotSpot Trading 是什么？

Build, backtest, and deploy algorithmic trading strategies using BotSpot's MCP server. Describe your strategy in plain English, AI generates the code, backte... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 64 次。

如何安装 BotSpot Trading？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install botspot-trading」即可一键安装，无需额外配置。

BotSpot Trading 是免费的吗？

是的，BotSpot Trading 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

BotSpot Trading 支持哪些平台？

BotSpot Trading 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 BotSpot Trading？

由 Robert Grzesik（@grzesir）开发并维护，当前版本 v1.0.0。