Fisher Transform Strategy

Fisher Transform Strategy MCP Connector for Claude

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A deterministic mean-reversion strategy using Fisher Transform to identify market exhaustion.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to execute a deterministic mean-reversion trading strategy. It uses the Fisher Transform to convert price distributions into a Gaussian shape, making extreme market exhaustion visible. Users can use calculate_fisher_indicators to compute momentum metrics, generate_trading_signals to identify BUY and SELL reversals after sustained extreme zones, and get_strategy_summary to evaluate performance metrics like win rate and drawdown.

mean-reversionfisher-transformmomentumalgorithmic-tradingquantitative

3 tools expose this connector's capabilities to your AI agent.

calculate_fisher_indicators

Compute core Fisher Transform values and metrics

generate_trading_signals

Evaluate indicators to determine BUY, SELL, or HOLD signals

get_strategy_summary

Provide a statistical overview of strategy performance

See how to talk to your AI agent using Fisher Transform Strategy.

Calculate the Fisher Transform indicators for these price arrays.

The Fisher Transform values have been calculated, including strength, extreme duration, and trigger distance for the provided price series.

Generate trading signals based on the provided Fisher indicators.

The strategy generated a BUY signal at price 150.25 with a stop-loss at 147.25 and a take-profit at 155.00.

Show me the performance summary for the last 50 trades.

The strategy achieved a win rate of 58% with a total profit factor of 1.45 and a maximum drawdown of 4.2%.

The strategy identifies extreme market exhaustion using the Fisher Transform. It triggers a BUY signal when the Fisher value crosses above the trigger line after being in a sustained oversold state, and a SELL signal when it crosses below after a sustained overbought state.

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