This bot is a forex trading solution that uses strategies generated by GPT3 to trade the markets. It currently utilizes Capital.com as its main broker. The bot is built with Golang, utilizing a concurrent implementation to maximize efficiency.
package main
import (
"log"
"os"
gominitrader "github.com/menesesghz/go-minitrader"
)
func main() {
capitalClient, err := gominitrader.NewCapitalClient("[email protected]", "<API_TOKEN>", "<API_TOKEN_PASSWORD>", true)
if err != nil {
log.Fatal(err)
}
// Trade the USD/JPY currency pair with a 2% stop loss and a 0.35% upperbound profit target using 15-minute intervals and the GPTStrategy.
minitraderUSDJPY := gominitrader.NewMinitrader(
"USDJPY", 25, 2, 0.35, gominitrader.MINUTE_15, gominitrader.GPTStrategy,
)
// Trade the USD/CAD currency pair with a 2% stop loss and a 0.35% upperbound profit target using 15-minute intervals and the GPTStrategy.
minitraderUSDCAD := gominitrader.NewMinitrader(
"USDCAD", 25, 2, 0.35, gominitrader.MINUTE_15, gominitrader.GPTShortTermStrategy,
)
// Trade the USD/MXN currency pair with a 2% stop loss and a 0.35% upperbound profit target using 15-minute intervals and the GPTShortTermStrategy.
minitraderUSDMXN := gominitrader.NewMinitrader(
"USDMXN", 50, 2, 0.35, gominitrader.MINUTE_15, gominitrader.GPTShortTermStrategy,
)
minitraderPool, _ := gominitrader.NewMinitraderPool(capitalClient, minitraderUSDJPY, minitraderUSDCAD, minitraderUSDMXN)
minitraderPool.Start()
}
The previous code is a main Go program that trades forex using the go-minitrader package. It establishes a new client connection to Capital.com, which serves as the designated broker for the bot's trades.
Then, it sets up three different instances of the minitrader for the currency pairs USD/JPY
, USD/CAD
, and USD/MXN
with the same stop loss (2%) and upperbound profit target (0.35%), but with different trade sizes
(25 for USD/JPY
, 50 for USD/MXN
, and default of 25 for USD/CAD
) and different strategies (GPTStrategy
for USD/JPY
, GPTShortTermStrategy
for USD/CAD
and USD/MXN
).
Finally, the program creates a new pool of minitraders, adds the three instances to it and starts the trading process by calling the Start()
method.
-
Backtesting Engine: The aim of this feature is to develop a backtesting engine that would allow testing the performance of the trading strategies before applying them on real trades.
-
Telegram Bot Integration: This feature aims to integrate the trading bot with the Telegram Bot API to allow for easy monitoring and control of trades.
-
Pull Historical Data from Trading View: To improve the performance of the trading strategies, it is necessary to access a larger data set. This feature aims to pull historical data from Trading View, which has a higher data limit compared to Capital.com API's limit of 10 requests per second.
It is important to underline that this is a alpha version, all the strategies haven't been backtested. Only trade with funds that you can afford to lose. This bot is provided as-is and no guarantees or warranties are made regarding its performance. Use at your own risk.