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General
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.
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
XGBoost
This algorithm stands for "Support Vector Machine". The parameters available are :
- Kernel
- C
- Gamma
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.
Each trading bot has a name, an associated (trained) model, a broker / exchange, a frequency and quantity (of each trade)
Brokers
Exchanges
- Robinhood
- Interactive Brokers
- Charles Schwab
- Alpaca Markets
- TD Ameritrade
- IG Markets
- Oanda
- Degiro
- TradeRepublic
- Samco
- Tradier
- Trading Technologies
- Zerodha
- Binance.com
- Binance.us
- Coinbase
- Kraken
- KuCoin
- BitStamp
- Gate.io
- OKX
- BitFinex
- ByBit
- Bithumb
- Gemini
- Bitget
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.
Last modified 7mo ago