NBT includes 3 main JS scripts:
-
the server:
- to track a selection of asset pairs and record all binance api data (candles, depths, trades) into a Postgres database.
- to detect buy or sell signals
- (optional) to send trading signals to the NBT Hub / Bitcoin vs. Altcoins to monitor performances and auto trade those signals (virtually or for real).
-
the trader:
- this script allows you to auto trade the signals received from the NBT hub or your own server. this script can run locally or on cloud services like Heroku. This new auto trader script allows you to trade with leverage when the pair is available for margin trading.
-
the backtest :
- to backtest your strategies on the historical tick data (Postgres database) recorded by the server.
- Git (see if it is already installed with the command: git --version)
- Node.JS (see if it is already installed with the command: npm --version)
git clone https://github.com/jsappme/node-binance-trader
cd node-binance-trader
npm i --unsafe-perm
Before everything please review the source code of the JS scripts (server.js, trader.js) and add your key information (BvA, Binance, etc...)
To start the server to save pair data, define strategies and emit trading signals:
npm run start
To start the auto trader to monitor strategies and signals received from the server or the NBT Hub:
Important note: Always make sure to have some BNB available on your corresponding wallet to pay for the fees.
npm run trader
To backtest strategies using the data recorded by the server:
npm run bt
Feel free to connect your Node.js scripts to the NBT hub Websocket server to monitor the performance of your signals and strategies on BvA
From your NBT Server, you can:
Send a Buy Signal to the NBT hub:
const buy_signal = {
key: bva_key,
stratname: stratname,
pair: pair,
buy_price: first_ask_price[pair], //optional
message: Date.now(), //optional
stop_profit: Number(stop_profit[pair+signal_key]), //optional
stop_loss: Number(stop_loss[pair+signal_key]), //optional
}
socket_client.emit("buy_signal", buy_signal)
Send a Sell Signal to the NBT hub:
const sell_signal = {
key: bva_key,
stratname: stratname,
pair: pair,
sell_price: first_bid_price[pair] //optional
}
socket_client.emit("sell_signal", sell_signal)
You can also communicate via the NBT hub to your auto trader to track your traded signals.
From your NBT Trader, you can:
Receive a Buy Signal from the NBT hub, to trade a signal from a strategy selected on BvA.
socket.on('buy_signal', async (signal) => {
console.log(signal.userid)
console.log(signal.nickname)
console.log(signal.stratid)
console.log(signal.stratname)
console.log(signal.pair)
console.log(signal.price) // buy price
console.log(signal.new) //new signal or closing an existing signal
})
Receive a Sell Signal from the NBT hub, to trade a signal from a strategy selected on BvA.
socket.on('sell_signal', async (signal) => {
console.log(signal.userid)
console.log(signal.nickname)
console.log(signal.stratid)
console.log(signal.stratname)
console.log(signal.pair)
console.log(signal.price) // buy price
console.log(signal.new) //new signal or closing an existing signal
})
Send a Traded Buy Signal to the NBT hub:
const traded_buy_signal = {
key: bva_key,
stratname: signal.stratname,
stratid: signal.stratid,
trading_type: user_payload[tresult].trading_type,
pair: signal.pair,
qty: Number(user_payload[tresult].buy_amount)
}
socket.emit("traded_buy_signal", traded_buy_signal)
Send a Traded Sell Signal to the NBT hub:
const traded_sell_signal = {
key: bva_key,
stratname: signal.stratname,
stratid: signal.stratid,
trading_type: user_payload[tresult].trading_type,
pair: signal.pair,
qty: Number(user_payload[tresult].buy_amount),
}
socket.emit("traded_sell_signal", traded_sell_signal)
I am not responsible for anything done with this bot.
You use it at your own risk.
There are no warranties or guarantees expressed or implied.
You assume all responsibility and liability.
Feel free to fork and add new pull request to this repo. If you have any questions/suggestions, or simply you need some help building your trading bot, or mining historical data or improving your strategies using the latest AI/ML algorithms, please feel free to contact me.
If this repo helped you in any way, you can always leave me a BNB tip at 0xf0c499c0accddd52d2f96d8afb6778be0659ee0c
- Discord: Invite Link
