24.5.0

New adaptive design and multi-threading

1. The new design is more convenient in both full-screen and half-screen modes, due to the disappearance of some minor columns in the tables. Added more sliders for more flexible use.

2. The multi-threaded approach has significantly increased the speed of downloading data from exchanges.

Full Changelog: https://github.com/evgrmn/tmatic/commits/24.5.0

24.4.0

Bybit connected

1. Uses the official Python3 API connector for the Bybit HTTP and WebSockets API https://github.com/bybit-exchange/pybit.

2. Migrating a MySQL database to SQLite, which is a simpler solution that does not require running a server.

Full Changelog: https://github.com/evgrmn/tmatic/commits/24.4.0

24.3.0

Preparing the program to connect to different exchanges

This release includes changes for the simultaneous connection of several crypto exchanges on the Tmatic platform, which will allow you to receive exchange data from two or more exchanges, manage orders manually and automatically within one program. Connecting several exchanges on one platform will make trading more flexible, for example, allowing you to trade one strategy on different marketplaces. Simultaneous control of exchange prices and accounts of different trading platforms makes it possible to create arbitrage strategies between exchanges. List of main changes:

1. The api folder contains all the code that is responsible for connecting via websockets and exchanging data with exchanges.

2. Each exchange has its own folder with the appropriate name, for example, api/Bitmex. Such a folder must contain at least four required files: 1) ws.py - creates a websocket instance, 2) http.py - processing REST requests, 3) path.py - urls, 4) agent.py - an intermediary that receives exchange data in a format specific to a particular API and converts it into a standardized format understandable by Tmatic.

3. The api/variabales.py file contains general variables that inherit from websocket classes, for example: accounts - the state of currency wallets, positions - information about open positions for subscribed instruments, ticker - the best buy/sell price, instruments - information on all exchange instruments , frames - candlesticks data on subscribed instruments, robots - bots of a given exchange and their data.

4. The file api/websockets.py is a dictionary through which websocket instances are addressed.

5. File api/init.py - preparing some variables before initializing the websocket.

6. File api/api.py - contains the WS class, which distributes REST requests by the name of the exchange, using the 'name' variable.

7. Possible problem of duplicate tickers. Exchange instruments belong to the following categories: "linear", "inverse", "quanto", "spot", "option". So far we have not encountered such a problem, but it can be assumed that the exchange can use the same symbol name for different categories. To avoid conflicts, the keys for the 'instruments', 'positions' dictionaries are converted from string to tuple and have the form (SYMBOL, CATEGORY). The corresponding fields have been added to the database tables.

8. Environment variables are in the .env file.

MARKET_LIST = "Bitmex"
MYSQL_HOST = "localhost"
MYSQL_USER = "root"
MYSQL_PASSWORD = "your password"
MYSQL_DATABASE = "your database name"
ORDER_BOOK_DEPTH = "orderBook10"
REFRESH_RATE = "5"
TESTNET = "True"

where, new variables:

MARKET_LIST - a list of exchanges
TESTNET - select test or main network

9. Settings for each exchange are located in separate files, for example, for Bitmex in the .env.Bitmex file:

LINEAR_SYMBOLS = "XBTUSDT, ADAH24, SOLUSDT"
INVERSE_SYMBOLS = "XBTUSD"
QUANTO_SYMBOLS = "ETHUSD"
SPOT_SYMBOLS = ""
OPTION_SYMBOLS = ""
CURRENCIES = "XBt, USDt"
HTTP_URL = "https://www.bitmex.com/api/v1/"
WS_URL = "wss://ws.bitmex.com/realtime"
API_KEY = "your API key"
API_SECRET = "your API secret"
TESTNET_HTTP_URL = "https://testnet.bitmex.com/api/v1/"
TESTNET_WS_URL = "wss://testnet.bitmex.com/realtime"
TESTNET_API_KEY = "your testnet API key"
TESTNET_API_SECRET = "your testnet API secret"

10. Changes affected the graphical interface. In particular, the table with funding is combined with the table of transactions through bookmarks. The information from these tables has been converted from text to tabular, for which the new ListBoxTable class is responsible.

11. The design is optimized for macOS, with a choice of light and dark themes. For Linux and Windows, only the light theme is still available.

Full Changelog: https://github.com/evgrmn/tmatic/commits/24.3.0

24.2.0

Improved program performance

1. fix: README.md, bug on line 279: "underlyingToPositionMultiplier" replaced with "myMultiplier".

2. fix: functions.py, bug on line 951: var.symbol replaced symbol.

3. The main changes were aimed mainly at improving the performance of the program.

   3.1. Bot activities have been moved to a separate thread, which is launched in the connect.py file in the robots_thread() function.

   3.2 Improved program performance was made possible by distributing tasks between threads, in particular, processing the "execution" table and the frames_hi_lo_values() function is called directly from the websocket __on_message() function in the ws/api.py file, while the main loop, which had a delay 10ms, now controlled by the REFRESH_RATE variable from the .env file.

   3.3 Since the Tkinter package is slow when accessing widgets, to speed up display on the screen, data caching is used, implemented through a regular dictionary, the labels_cache variable in the display/variables.py file.

4. Other small changes, for example: removed framing variable from bots/variables.py, removed ticker_hi_lo_minute_price() function.

Full Changelog: https://github.com/evgrmn/tmatic/commits/24.2.0

24.1.0

Full Changelog: https://github.com/evgrmn/tmatic/commits/24.1.0