This is an experimental bot for swing trading against the kucoin
exchange. Set an upper and lower percentage that will place buy / sell orders. When an order triggers, the bracket will shift basing off the last order. Bots run without your intervention. It is recommended that you have a means to track your trades ergo, track the trades the bot is making for you. That is the same for this bot as well as any other bots you may try. He is being called the man who cracked the crypto code and he is now fixed on teaching the world (or at least whoever wants to listen) how to make steady profits from this volatile market.
YOKOHAMA, JAPAN, November 27, 2021 /EINPresswire.com/ -- For anyone who is into crypto, crypto trading bot even in the slightest, chances are good they have been hearing a lot about Dan Hollings The Plan. This software is for educational purposes only. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. Tesla stock was up 1.7 percent in pre-market trading on Thursday. The company indicated plans to accept Bitcoin as payment for its cars in March, but Musk suspended that crypto option earlier this month over environmental concerns, temporarily sending its value plummeting. Freqtrade is a free and open source crypto trading bot written in Python.
It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning. Download market data: Download historical data of the exchange and the markets your may want to trade with. Optimize: Find the best parameters for your strategy using hyperoptimization which employs machining learning methods.
You can optimize buy, sell, take profit (ROI), stop-loss and trailing stop-loss parameters for crypto trade bot
your strategy. Backtest: Test your strategy on downloaded historical data. Run: Test your strategy with simulated money (Dry-Run mode) or deploy it with real money (Live-Trade mode). Develop your Strategy: Write your strategy in python, using pandas. The sizing of the trade is based on a risk of a percentage of your capital. Run using Edge (optional module): The concept is to find the best historical trade expectancy by markets based on variation of the stop-loss and then allow/reject markets to trade.
Example strategies to inspire you are available in the strategy repository. Analyse: Further analysis can be performed on either Backtesting data or Freqtrade trading history (SQL database), including automated standard plots, and methods to load the data into interactive environments. Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). Control/Monitor: Use Telegram or a WebUI (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.).
You can also explicitly blacklist markets you don't want to trade. It's been much more predictable and less prone to erroneous buys / sells. Adjusting the 'buyDifference' changes only the buying behavior. Setting the 'volumePercent' param with a 'buyDifference' of zero places matching buys / sells.