"A quantitative trading system" matching MCP tools:

• get_trading_signalsB

  quanttogo-mcp-serversB

  Retrieve real-time BUY/SELL signals from quantitative strategies for informed trading decisions, including symbol, quantity, price, and strategy details.

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• logoutC

  ctbcsec-api-mcp-serverA

  Terminate the trading session for a user by providing their user ID. This revokes access to the trading system.

  MIT

• okx_add_ruleA

  AI Trading Co-Pilot MCP ServerA

  Add trading rules in plain English to automate decisions. The system classifies each rule as quantitative or qualitative for flexible strategy control.

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• generate_fintech_trading_blueprintB

  super-agent-skillC

  Generate quantitative crypto/fintech trading execution loops with risk locks, order APIs, and real-time market data polling for algorithmic, banking, or risk management architectures.

  MIT

• get-pair-analyticsA

  openpulsechainA

  Get detailed analytics for a PulseX trading pair: price, volume, liquidity, buy/sell ratio, price impact, volatility, and wash trading detection. Input the pair contract address to receive these metrics.

  MIT

• sigmavue_clients_listA

  sigmavue-mcpB

  List managed trading profiles from SigmaVue to monitor and manage client accounts.

  MIT

• createCopyTradeBindA

  Bybit MCP ServerB

  Start Copy Trading Classic by binding your UTA account to a leader's mark with an investment amount, enabling automatic follow trading.

  MIT

  Destructive

• cancelSpreadOrderA

  Bybit MCP ServerB

  Cancel a spread trading order by providing its system order ID or custom link ID. Use this to remove an open limit order that hasn't been fully filled.

  MIT

  Destructive

• get_system_healthA

  AlgoChains MCP ServerB

  Audit trading-system health: check bot process/log liveness, disk space, and health_snapshot.json. Resolves legacy log aliases to avoid false inactive signals when triaging SEV1 watchdog alerts.

  MIT

• get_account_configA

  alpaca-mcp-serverB

  Retrieve current account configuration settings for trading restrictions, margin settings, PDT checks, and options trading level.

  MIT

• get_quantitative_dataA

  Userology MCP ServerA

  Retrieve quantitative metrics for a study, including task completion rates, times, and misclicks, to support data-driven UX analysis.

  MIT

• get_marketsA

  BitOasis MCP ServerB

  Retrieve a list of all tokens and trading pairs on BitOasis, including each token's trading, deposit, and withdrawal status.

  MIT

• update_traderA

  Carbon Copy MCP ServerA

  Update copy-trading settings for a trader you follow on Polymarket. Control max copy amount, copy percentage, trading status, and notifications.

  MIT

• deploy_botA

  TradeStaq MCPB

  Deploy a trading strategy as a bot. Defaults to paper trading, with option for live trading on specified exchange.

  MIT

• generate_dual_axis_chartA

  vchart-mcp-serverA

  Create dual-axis charts to visualize and compare two quantitative variables using combined bar and line series, enabling analysis of trends and magnitudes across distinct metrics.

  MIT

• delete_ruleA

  Sablier MCP ServerA

  Permanently delete a systematic trading rule from a portfolio by specifying the portfolio ID and rule UUID.

  MIT

• fetch_market_statusB

  nexus-exchange-mcpB

  Retrieve a market's trading status and halt information by market ID to see if trading is open, halted, or in auction; no credentials required.

  Apache 2.0

• create_system_groupB

  AssetLab MCP ServerB

  Creates a system group under a system class to organize assets by category such as Heating or Cooling. Requires systems:write scope.

  MIT

• get_priceB

  TradeStaq MCPB

  Retrieve the current price of a cryptocurrency trading pair from supported exchanges.

  MIT

• generate_progress_chartB

  vchart-mcp-serverA

  Create progress charts to visualize completion rates, proportional metrics, and normalized quantitative values between 0 and 1 using gauge, liquid, linear, or circular formats.

  MIT

• get_tokens_quant_metricsC

  Token Metrics MCP ServerB

  Retrieve quantitative metrics such as market cap, volume, and FDV for cryptocurrencies by filtering tokens based on ID, symbol, category, exchange, or financial thresholds.

  TypeScript

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