What indicators does this MCP use?

The engine uses an ensemble of RSI, Bollinger Bands, and Z-Score.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

How does the ensemble scoring work?

It aggregates three distinct technical indicators to confirm extreme market conditions through a scoring mechanism.

Can I get specific exit prices?

Yes, the generate_trading_plan capability provides specific entry, stop-loss, and take-profit parameters.

Does this MCP host the data?

Vinkius hosts the MCP and manages the execution, so you only need to connect your client.

What is an ensemble score in this strategy?

The ensemble score is a count (0 to 3) of how many indicators (RSI, Bollinger Bands, and Z-Score) simultaneously signal an extreme oversold or overbought condition.

When does the strategy trigger a BUY signal?

A BUY signal is triggered only when the oversoldScore reaches exactly 3, meaning RSI, Bollinger Bands, and Z-Score all confirm an oversold state.

How is the stop-loss calculated?

The stop-loss is determined by the higher of a 3% drop from the entry price or the price level where the ensemble score drops to 1.

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Connect Mean-Reversion Ensemble Strategy to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Identify high-probability market entries through multi-indicator scoring.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Mean-Reversion Ensemble Strategy.

01
Calculate ensemble signals
This capability generates technical indicator signals by processing price data through the ensemble engine.
02
Analyze reversion probability
This capability evaluates the historical success rate of specific ensemble scores to determine reversion likelihood.
03
Generate trading plan
This capability creates specific entry, stop-loss, and take-profit parameters based on existing signal data.

Real work

What teams actually run

Filtering Volatility

Use the ensemble scoring to avoid entering trades when only one indicator shows an extreme.

Automated Plan Creation

Turn a set of technical signals into a complete trading plan with stop-loss and take-profit levels.

Backtesting Signal Reliability

Check the historical success rate of an ensemble score before committing to a trade.

Signal Generation

Feed a list of closing prices to the MCP to get immediate technical indicator outputs.

One connector, every AI

Mean-Reversion Ensemble Strategy works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Mean-Reversion Ensemble Strategy to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

882ms average. Fast in production.

Mean-Reversion Ensemble Strategy is checked daily against the live service.

Daily averagePeak 1045ms

Oct 3Today

Fastest day: 680ms
Slowest day: 1045ms
14-day trend: Improving-5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Mean-Reversion Ensemble Strategy, so you can see the experience inside your AI.

It does not authenticate your account with Mean-Reversion Ensemble Strategy. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Mean-Reversion Ensemble Strategy Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Kwoyg1w3qZwgw3BsLLUiOkZXQtyWdKpQJAZT3g0I/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Mean-Reversion Ensemble Strategy capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "mean-reversion-ensemble-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Kwoyg1w3qZwgw3BsLLUiOkZXQtyWdKpQJAZT3g0I/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Mean-Reversion Ensemble Strategy in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Mean-Reversion Ensemble Strategy owners hand off.

This MCP is built for individuals running algorithmic or semi-automated trading strategies.

01
Quantitative Traders
They hand off raw price data to the AI to get ensemble-validated signals.
02
Algorithmic Developers
They use the capability to generate structured trading plans for their automated scripts.
03
Technical Analysts
They use the probability capability to backtest the reliability of specific indicator alignments.

FAQ

Questions Mean-Reversion Ensemble Strategy owners ask.

01
What indicators does this MCP use?
The engine uses an ensemble of RSI, Bollinger Bands, and Z-Score.
02
Which AI clients can use this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
03
How does the ensemble scoring work?
It aggregates three distinct technical indicators to confirm extreme market conditions through a scoring mechanism.
04
Can I get specific exit prices?
Yes, the generate_trading_plan capability provides specific entry, stop-loss, and take-profit parameters.
05
Does this MCP host the data?
Vinkius hosts the MCP and manages the execution, so you only need to connect your client.
06
What is an ensemble score in this strategy?
The ensemble score is a count (0 to 3) of how many indicators (RSI, Bollinger Bands, and Z-Score) simultaneously signal an extreme oversold or overbought condition.
07
When does the strategy trigger a BUY signal?
A BUY signal is triggered only when the oversoldScore reaches exactly 3, meaning RSI, Bollinger Bands, and Z-Score all confirm an oversold state.
08
How is the stop-loss calculated?
The stop-loss is determined by the higher of a 3% drop from the entry price or the price level where the ensemble score drops to 1.

Explore

More in Finance

Connect Mean-Reversion Ensemble Strategy to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Calculate ensemble signals

Analyze reversion probability

Generate trading plan

What teams actually run

Filtering Volatility

Automated Plan Creation

Backtesting Signal Reliability

Signal Generation

Building your own app? The connector is yours to use.

Mean-Reversion Ensemble Strategy Connector

Claude Desktop

Quantitative Traders

Algorithmic Developers

Technical Analysts

What indicators does this MCP use?

Which AI clients can use this MCP?

How does the ensemble scoring work?

Can I get specific exit prices?

Does this MCP host the data?

What is an ensemble score in this strategy?

When does the strategy trigger a BUY signal?

How is the stop-loss calculated?

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