Next Steps

That's all we have for you for now.

If you liked the intro and want to play around with Dojo, please get in touch!

As next steps, we suggest:

Check out our example repository

We have a public repo with working examples. This includes

• Trading Strategies: full demonstrations of trading strategies from creating agents and policies to running the simulation.
  • Moving Averages: MAs are used as trend indicators to identify support and resistance levels.
  • Relative Strength Index: RSI determines whether an asset is overbought or oversold.
  • Arbitrage: Arbitrage enables traders to take advantage of the price difference of an asset in two different markets.
  • Dollar Cost Averaging: DCA enables investors to obtain a better price to invest into an asset over time.
• Demo Policies: agents execute trades depending on their policies.
  • Passive Concentrated Liquidity: Provide liquidity passively to a pool in the specified price bounds.
  • Dynamic Price Window: Dynamically adjusts to the price limits, enabling the agent to adapt to changing market conditions.
• Different Agents:
  • Tracking Impermanent Loss: Agent that tracks the impermanent loss in a pool.
  • Uniswap Pool Wealth: Agent whose reward function is its total wealth including LP fees and tokens.
• Full Simulation Loop: e.g., stitching it all together. Run these demos to run simulations, track the data, and plot the results.

Implement your own policies

Try to implement your own policy and test the results.

We are happy to help our early adopters! If you struggle with implementing your own policies, we would love to understand how to make it easier. Please don't hesitate to reach out!