The current version works with Bittrex and Binance. So far, x64 is a portable application for Windows.
The main task of the bot is to buy a coin as quickly as possible, sell it with profit, and at the same time refrain from buying a coin, the chance of profit from which is low.
For this, the bot has:
automatic reading of messages from Telegram
Signal trading mode and advanced filtering of messages with signals
auto-coin definition on the text in the clipboard
analysis of coins in automatic mode for their "pamp quality"
weight settings: under what conditions to buy or not buy a coin, set relative prices for purchase / sale, etc..
automatic definition of the beginning of the pampa
Tools for manual trading: rapid reordering of orders with a mouse, visual distribution of volumes in a glass in real time, a graph of a coin with a resolution of 1 second and displaying all executed orders (foreign orders including)
Pending orders: Buy Stop order (for trading on breakdowns), Buy order (trading on dumps, the order does not reserve the balance before being placed on the stock exchange)
Functions Stop Loss, Trailing Stop
and much more, see details on my website
In the bot there is an algorithm for detecting the beginning of the pump, but it is far from perfect, therefore the current version is most effective in conjunction with the channel (in the Telegram for example), in which the pampas are declared. Links to channels and examples of real trading is on the bot website
The approximate scheme of work: the bot reads the pre-defined channels of Telegram. As soon as the signal comes, Bot decides whether to buy, if so, immediately buys and immediately puts it on sale.
Another option is to use fast trading in manual mode (scalping).
IMPORTANT! The boat is not intended for trading in a fully automatic mode. It is intended only for automating routine activities, which gives a gain in time.
Video, how the bot works: https://youtu.be/4ZemL_g5Fjc
Download free version (differs from full only by restriction on the amount of buy orders)
Download: http://u.to/V5jaEA
The password from the archive: 123123