<!-- Place this tag where you want the button to render. -->
<aclass="github-button"href="https://github.com/freqtrade/freqtrade"data-icon="octicon-star"data-size="large"aria-label="Star freqtrade/freqtrade on GitHub">Star</a>
<!-- Place this tag where you want the button to render. -->
<aclass="github-button"href="https://github.com/freqtrade/freqtrade/fork"data-icon="octicon-repo-forked"data-size="large"aria-label="Fork freqtrade/freqtrade on GitHub">Fork</a>
<!-- Place this tag where you want the button to render. -->
<aclass="github-button"href="https://github.com/freqtrade/freqtrade/archive/master.zip"data-icon="octicon-cloud-download"data-size="large"aria-label="Download freqtrade/freqtrade on GitHub">Download</a>
<!-- Place this tag where you want the button to render. -->
<aclass="github-button"href="https://github.com/freqtrade"data-size="large"aria-label="Follow @freqtrade on GitHub">Follow @freqtrade</a>
This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.
We strongly recommend you to have basic coding skills and Python knowledge. Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms and techniques implemented in it.
- Download market data: Download historical data of the exchange and the markets your may want to trade with. The historical data can be based on [OHLCV](https://en.wikipedia.org/wiki/Open-high-low-close_chart) candles or be trade ticks (for exchanges that support this).
- Select markets: Create your static list or use an automatic one based on top traded volumes and/or prices (not available during backtesting). You can also explicitly blacklist markets you don't want to trade.
- Backtest: Test your strategy on downloaded historical data.
- 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 your strategy.
- Run: Run the bot on exchange with simulated money (Dry-Run mode) or with real money (Live-Trade mode).
- Run using Edge (optional module): The concept is to find the best historical [trade expectancy](https://www.freqtrade.io/en/latest/edge/#expectancy) by markets based on variation of the stop-loss and then allow/reject markets to trade. The sizing of the trade is based on a risk of a percentage of your capital.
- Control/Monitor/Analyse: Use Telegram or a REST API (start/stop the bot, show profit/loss, daily summary, current open trades results, etc.) Further analysis can be done as trades are saved (SQLite persistence database).
The clock on the system running the bot must be accurate, synchronized to a NTP server frequently enough to avoid problems with communication to the exchanges.
Click [here](https://join.slack.com/t/highfrequencybot/shared_invite/enQtNjU5ODcwNjI1MDU3LTU1MTgxMjkzNmYxNWE1MDEzYzQ3YmU4N2MwZjUyNjJjODRkMDVkNjg4YTAyZGYzYzlhOTZiMTE4ZjQ4YzM0OGE) to join the Freqtrade Slack channel.
