AI Algotrading

Algo Trading with Claude

Edge first. Strategy second. Code third. AI automates only what you have already proven.

The simulator is the proving ground

No edge, no algo. The simulator is step zero.

  1. 1Build your edge.
  2. 2Find your repetitive profitable setups.
  3. 3Repeat them until the edge holds.
  4. 4Then define the strategy.
  5. 5Then automate it.
Build your edge in the simulator

Step 1: TradeVision AI names your edge

After 100 simulator trades TradeVision AI shows which setups you actually win with, then scans live markets for those exact conditions.

Trade the edge manually

Same setups, real markets, you execute.

Build your strategy around this edge

Write the rules, then automate them.

See my edge in TradeVision AI Build my strategy around this edge

What AI trading is

  • A retail trader using Claude and MCP to run a strategy at a broker.
  • In 99% of cases it is done wrong.
  • AI finds setups, checks context, supports the trader.
  • AI cannot replace a trader without an edge.

Four steps, in this order

  1. 1

    Find your edge in the simulator

    Practice, repeat, measure. No edge means stop here.

  2. 2

    Define the strategy

    Write the exact rules of your repetitive profitable setup.

  3. 3

    Automate the tasks

    Let AI do the steps you have already done a thousand times.

  4. 4

    Run it on a server

    Stable infrastructure, monitoring, failover. Not a laptop on Wifi.

Our signals are the proof

BIG LONG and OCTANE are signals, not auto-execution. You check them manually before risking money.

Strategy firstAutomation secondFull auto third
BIG LONG OCTANE

Why it usually loses money

1

Algo trading is IT operations

  • Runs on servers, not on your laptop.
  • Missed signals and bad fills cost money.
  • Needs monitoring and failover.
2

Strategy market fit

  • Works for weeks, then stops.
  • Parameters need constant rework.
  • You cannot adapt what you do not understand.
3

Backtests are a sketch

  • Past data is not future profit.
  • Silent on execution quality.

Four questions before you code anything

  1. 1.Do I have a strategy, or am I hoping the machine makes me rich?
  2. 2.Can I run it professionally?
  3. 3.Can I adapt it to changing markets?
  4. 4.Am I willing to risk money on a backtest alone?

Submit your strategy for review

Send us six things:

  1. 1Strategy name
  2. 2What you trade and the target
  3. 3Why it works
  4. 4Downside risk
  5. 5Brief trading history
  6. 6The code

We check it, backtest it and give you honest feedback.

Submit your strategy

AI algotrading questions

Is AI algotrading profitable?+

Not by itself. Profit comes from the strategy, the execution and the adaptation. The model is only a tool.

How do I start with AI algotrading?+

Simulator first. Build your edge, find your repetitive profitable setups, repeat them. Then define the rules, then automate. Never the other way round.

What are the best Claude trading strategies?+

The ones you understand and can adapt. Claude can code them and call a broker through MCP. The edge has to come from you.

Why does a backtest not guarantee profit?+

Past data says nothing about future markets and nothing about how reliably your infrastructure executes.

ai algotradingai algo tradingai algotrading guidehow to algotradingbuild your edgetrading simulatorrepetitive profitable setupsbest claude trading strategiesclaude trading botprofitable ai algotradingis ai algotrading profitablemcp tradingstrategy market fitautomated trading

NOT FINANCIAL ADVICE. Do your own due diligence. MCP (Model Context Protocol) is how an AI model calls tools such as a broker API.

Start the simulator