Cryptocurrency ML price prediction. Ready for connection to any crypto exchange to trade with limit orders
Important
Made by using react-declarative to solve your problems. ⭐Star and 💻Fork It on github will be appreciated
1. Start this app
Build
sh ./scripts/build.shRun
npx open-cli http://localhost:8080
npm run start:binance2. Configure the neural network. If you can't just press save button, default config is good enough
3. Wait for whales patterns interception (will take around 10 minutes or more). Open Chrome Dev Tools for detailed log
4. (Optional) Start Telegram informer (./packages/informer)
5. Enjoy!
The bot is observing HIGH values on the 1M candle chart of the crypto exchange. It is trying to collect market whale patterns to detect them and predict price change.
To do that It listening the exchange 1M candle websocket until It finds a spike or a space between two spikes. From the technical side it combines values by groups with 100 records (each message per 250ms) and uses linear regression to compute slope.
The sign of Slope variable means the trend: negative (red rect) if price is going downward or positive (green rect) if price is going forward. So when the bot see the pair of groups with trend [-1, 1] or [1, -1] it capture them and start training neural network
The neural net takes only the last 10 prices from a market as an input and 2 values as an output. If the price rises, it return [1, 0]. If the price will fall it return [0, 1]
To use a group with 100 price records as a set for training I am using stride tricks. That helps me emulate receiving last 10 values from a websocket just like in real time. But as I am already known the trend, the training of neural network is easy peasy (check green, violet, yellow, green rects)
FYN If you have your own DAU which owns more than 10 000$ for trading feel free to contact me, I got a lot of solutions of that kind for crypto currencies
P.S. for binance use wget -qO- http://ipecho.net/plain | xargs command to check your ip.