Crypto Statto Launches Live 5 percent Swing Trading Strategy - Automated Trading Now in Production 28 July 2025

Automated Trading Solution Running in production

Crypto Statto has officially launched its first live trading strategy - and it's already making moves.

After months of rigorous testing, our automated trading engine is now live, running our custom 5% swing trading strategy in production. A major step forwards for our platform, our users, and the future of crypto portfolio management.

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Crypto Statto Roadmap reminder

Here is a short recap of our platform and how it has progressed.

Phase one - Cryptocurrency reporting data and API

The first phase was about setting up a platform capable of delivering regular market cryptocurrency reports to our customers. Data is available through multiple reports and our API for registered site users.

We have a lot more to deliver here, including upgrading our infrastructure and adding better reports and datasets. We are also aiming to add a simpler security model, offering wallet based registration and authentication via Nostr and MetaMask.

We also plan to publish data from our trading software.

Phase two - Portfolio Management through automated trading

The second phase is all about positional management, which means interacting with our portfolios to manage our positions. The objectives being as follows;

• Accumulate more cryptocurrency
• Convert cryptocurrency into cash
• Bank both cryptocurrency and cash

Whilst our software is performing automated trading, we look upon it more in terms of managing your portfolios to help reduce exposure to cryptocurrency and maintain a certain cash position.

Our first strategy is loosely based upon our swing trading strategy.

How our automated trading software works

More detailed documentation will be published at a later date.

As always, none of this is financial advice. Whilst we are discussing our trading strategy, trading is high risk and over 80% of traders lose money. Indeed, the current strategy we are running may lose money. Anything discussed in this article is not financial advice, and we cannot be held accountable for any losses incurred from you deciding to follow concepts in this article. Indeed, we are discussing a beta version of our trading strategy.

Core concepts for our automated trading software

Key objectives of this software are;
• Buy at or below a price
• Sell at or above a price
• Move funds from and to a portfolio
• Cancel trades

By defining management rules, we are able to run portfolio management continuously, creating and cancelling orders, and moving assets to be in-scope and our or scope of trading.

Trading Artifact

A trading artifact is the information needed for the software to retrieve static data from the cryptocurrency exchange. Example data includes, what assets to retrieve, the strategy name, how to bucket prices, and so on.

Most importantly, is the strategy name.

We set this to retrieve data every minute for this version but this can be altered.

The trading artifact is responsible for providing all reference data to permit;

• Decision Evaluation
• Decision Execution

Application Trade

The application trade is where the real magic happens. Each application trade has the following data;

• Strategy
• Portfolio
• Trade rules
• Schedules

The trade rule

There are four main (more exist) types of trade rules;

• Buy Limit Order
• Sell Limited Order
• Cancel Order
• Move Order

Other information for trade rules

We also include the following

• Price off proportion
• Quantity off proportion
• Asset and Asset Pair
• Schedules
• Filter Rules

About filter rules

The trading artifact generates many datasets. These datasets are put into a common structure allowing them to determine if a trade can happen or not. This is known as the "Decision Evaluation" process. Basic decisions could be

• How many active trades we have
• How much capital we have
• Price information

Our basic strategy - 5% swing trading strategy

Our strategy is fairly simple;

• Buy coins n% below the most recent offer price
• Sell coins n% above the most recent asking price
• Cancel orders that are outside of the respective market price
• Move assets at regular interval to a bank portfolio

For our current strategy implementation, there is some risk if the market kept falling, but we are still refining this.

We have currently set this portfolio to run for;

• ADA-GBP
• LTC-GBP

Some important considerations for our software

• Prices can move significantly, we are not as concerned about millisecond level data as we are more focused Decision Execution based upon our current view of the market
• Trading exchanges themselves have API limitations - n requests a minute
• Not all trades will be accepted by the exchange. Trying to buy at a price above a lower price may get rejected
• The number of assets in a strategy may affect performance - being considered for future versions
• Our current version only runs against Coinbase advanced API. We have plans to add other exchanges and are deliberating on DEX versus more popular centralised exchanges such as Binance or Kraken. We are currently UK based and are considering hooking this into a brokerage API for ISAs for tax free trading
• We don't attempt to set stop losses. This is a deliberate choice, but are certain customers will request it
• We are not looking to do short trades, you are physically short an asset when out of a position
• We do not perform margin trading/perpetual futures trading

By keeping our trading platform simple in terms of trading, we can focus more upon the analytics side of things.

Immediate trade execution, potential for AI based and external decision evaluation

Currently, the software works in terms of trading artifacts and application trades. Once a strategy's trading artifact and application trade are submitted, the system will go about getting reference data, decision evaluation and decision execution.

This is currently centralised, but there is already the ability to submit specific trades instructions to the trading API. All current Decision data is available through the API and this open up the possibility of requesting this for external usage. Furthermore, we are considering making this a publish/subscribe model which then makes things truly interesting.

This opens up the possibility of your own analysis feeding into the software to manage portfolio positions. An example being, you may have strong belief that BTC will fall. By setting intelligence cancellations and portfolio moves, we could retain assets if we think the market is moving.

Portfolio Balance P&L

Right now, we are adding accounting processes to benchmark balances and positions based off fills to give customers overview on how their portfolios are doing.

Here are some initial considerations;

• Monitor growth and reduction in asset allocation in and between portfolios
• Understand realised and unrealised profit and loss (PNL)
• Understand "Do nothing" scenarios. What would have happened if we had simply held assets and not traded them?

To summarise, our intention is to consolidate reporting across portfolios to understand whether our trading strategies are performing.

Real Trade Fills Screenshot

Here are real trades that filled from orders created by our automated trading software on our Coinbase Account. We have hidden certain identifier data, naturally.

Summary

Our automated trading solution is well underway now. We have multiple tools planned for release and will be formally releasing this in the coming months.

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