connect Matlab to Binance API

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Abolfazl Nejatian
Abolfazl Nejatian 2021-5-25
Hey everyone,
i am seeking for a solution to put an order with Binance API.
if anyone has experience in this field or has knowledge of posting a request please let me know.
here is my code
% Set up authentication:
APIKey = '12a2fff338b41101ed886dd1c0ef4f35e96fe0233d23616daed4f2dbd1389526';
APISecret = '3d52b16aa7a0c6cd12fd11e09a955967cfeb839fd729357a0ca272351da75873';
symbol = 'BTCUSDT';
type = 'limit'; % or 'market'
side = 'sell'; % or 'buy'
amount = 1.0;
price = 60540; % or None
options = weboptions('RequestMethod',apiMethod, 'MediaType','application/json');
Body = struct('symbol', symbol, ...
'type', type, ...
'side', side, ...
'amount', char(num2str(amount)), ...
'price', char(num2str(price)), ...
'APIKey', APIKey,...
'APISecret', APISecret);
webaddress = 'https://testnet.binance.vision/api/v3/order/';
response = webwrite(webaddress, Body, options);
kind regrads,
Abolfazl
  2 个评论
Turlough Hughes
Turlough Hughes 2021-7-8
By the way, if those are active keys on an account with anything worth losing you need to deactivate them (IP restrictions are not enough to keep your account safe!).
Turlough Hughes
Turlough Hughes 2021-7-9
Assuming you've deactivated your keys?

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回答(2 个)

Turlough Hughes
Turlough Hughes 2021-7-8
Try my recent submission to the file exchange: MATLAB-Binance-API
Then placing a limit order is simply:
obj = spot.newOrder('limit');
set(obj,'sym','btcusdt','side','sell','quantity',0.001,'price',60000)
response = obj.send;
or with the syntax that came in R2020a (which I'm a big fan of) you could also write:
set(obj,sym='btcusdt',side='sell',quantity=0.001,price=60000)
response = obj.send;
Note: this order sells 0.001 btc from your spot account (not testnet) and assumes you have 0.001 BTC on your books.
  4 个评论
Abolfazl Nejatian
absolutely, I will write a review ASAP.
I just think about implementation some usual strategy for risk management, it is called Martingale Strategy.
it is a kind of risk management strategy.
actually, the Martingale Strategy involves doubling the trade size every time a loss is faced. A classic scenario for the strategy is to try and trade an outcome with a 50% probability of it occurring.
it means if you have a failed buy/long position you should compensate the loss by ReEntering to another buy/long position with increasing the volume inorder to reach to your goal profit.
This algorithm always guarantees the profit in condition that the ReEntering points are not too bad. consecutive(5 or more) bad ReEntering points will lead to liquidation!
so the question is did you done some similarstategy in Matlab for the crypto ?
Turlough Hughes
Turlough Hughes 2021-7-9
No, I haven't tried anything similar tbh. Most of my interest has been on arbitrage and backtesting other strategies.

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Asghar Moeini
Asghar Moeini 2022-7-21
I would be grateful if you share your code for futures trade.
Regards,
Asghar

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