ℹ️General

Learn more about how Swiss33 is designed

Swiss33 is a freemium algorithmic trading platform that allows users to create their own machine learning models and to deploy them as trading bots on their brokers / exchanges.

Models

Each model has a name, an algorithm, a data source, a granularity, a period, an asset, a list of features (OHLCV / Technical Indicators), a return discrimination, a training set and parameters of the algorithm.

SVM

This algorithm stands for "Support Vector Machine". The parameters available are :

• Kernel

• C

• Gamma

XGBoost

This algorithm stands for "eXtreme Gradient Boosting". The parameters available are :

• Learning rate

Each model has to be trained before being deployed as a trading bot.

Trading bots

Each trading bot has a name, an associated (trained) model, a broker / exchange, a frequency and quantity (of each trade)

Brokers

• Robinhood

• Interactive Brokers

• Charles Schwab

• Alpaca Markets

• TD Ameritrade

• IG Markets

• Oanda

• Degiro

• TradeRepublic

• Samco

• Tradier

• Trading Technologies

• Zerodha

Exchanges

• Binance.com

• Binance.us

• Coinbase

• Kraken

• KuCoin

• BitStamp

• Gate.io

• OKX

• BitFinex

• ByBit

• Bithumb

• Gemini

• Bitget

Abstraction

There is such an abstraction level that you can use a model with a lot of different trading bots ( brokers / exchanges). For instance, you can train a model for BTC/USDT for Binance.com and deploy with a trading bot connected to Binance.com, Kraken, Coinbase etc.

The only condition is that the asset of the model must exist within the trading bot's broker / exchange.

For instance, if you train a model for EUR/USD for Interactive Brokers, you can't deploy it on Coinbase, as Coinbase only supports cryptos.