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grzesir

BotSpot Trading

by Robert Grzesik · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install botspot-trading
Description
Build, backtest, and deploy algorithmic trading strategies using BotSpot's MCP server. Describe your strategy in plain English, AI generates the code, backte...
README (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

  1. Generate strategies from plain English descriptions using the generate_strategy tool
  2. Backtest strategies on historical data using start_backtest, then check progress with backtest_status
  3. Analyze results using get_backtest_artifact and query_csv for SQL queries on trade data
  4. View charts using get_backtest_visuals and get_backtest_chart_series
  5. Browse the marketplace using list_public_bots to find community strategies
  6. 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:

  1. Ask clarifying questions about their idea (asset, timeframe, entry/exit rules, risk management)
  2. Use generate_strategy to create the strategy code
  3. Suggest running a backtest with start_backtest (recommend a 1-2 year date range)
  4. Monitor with backtest_status and report progress
  5. When complete, use get_backtest_artifact to get the tearsheet and query_csv to analyze trades
  6. Present results: total return, max drawdown, Sharpe ratio, win rate, number of trades
  7. Offer to refine with refine_strategy if the user wants changes
  8. 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.

Usage Guidance
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.
Capability Analysis
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.
Capability Tags
cryptorequires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
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.
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.
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install botspot-trading
  3. After installation, invoke the skill by name or use /botspot-trading
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug botspot-trading
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is BotSpot Trading?

Build, backtest, and deploy algorithmic trading strategies using BotSpot's MCP server. Describe your strategy in plain English, AI generates the code, backte... It is an AI Agent Skill for Claude Code / OpenClaw, with 64 downloads so far.

How do I install BotSpot Trading?

Run "/install botspot-trading" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is BotSpot Trading free?

Yes, BotSpot Trading is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does BotSpot Trading support?

BotSpot Trading is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created BotSpot Trading?

It is built and maintained by Robert Grzesik (@grzesir); the current version is v1.0.0.

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