# General

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.

{% tabs %}
{% tab title="SVM" %}
This algorithm stands for "Support Vector Machine". The parameters available are : 

* Kernel
* C
* Gamma
  {% endtab %}

{% tab title="XGBoost" %}
This algorithm stands for "eXtreme Gradient Boosting". The parameters available are : 

* Learning rate
  {% endtab %}
  {% endtabs %}

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)

{% tabs %}
{% tab title="Brokers" %}

* Robinhood
* Interactive Brokers
* Charles Schwab
* Alpaca Markets
* TD Ameritrade
* IG Markets
* Oanda
* Degiro
* TradeRepublic
* Samco
* Tradier
* Trading Technologies
* Zerodha
  {% endtab %}

{% tab title="Exchanges" %}

* Binance.com
* Binance.us
* Coinbase
* Kraken
* KuCoin
* BitStamp
* Gate.io
* OKX
* BitFinex
* ByBit
* Bithumb
* Gemini
* Bitget
  {% endtab %}
  {% endtabs %}

### 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.


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