# Jesse
Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies.
## Why Jesse?
In short, Jesse is more accurate than other solutions, and way more simple.
In fact, it is so simple that in case you already know Python, you can get started today, in matter of minutes, instead of weeks and months.
## Getting Started
Head over to the installation section of the [documentation](https://docs.jesse-ai.com/docs/installation.html).
## Example Backtest Results
Here's an example output for a backtest simulation:
```
CANDLES |
----------------------+--------------------------
period | 1557 days (4.27 years)
starting-ending date | 2016-01-01 => 2020-04-06
exchange | symbol | timeframe | strategy | DNA
------------+----------+-------------+--------------------+-------
Bitfinex | BTCUSD | 6h | TrendFollowingStrategy |
Executing simulation... [####################################] 100%
Executed backtest simulation in: 107.89 seconds
METRICS |
---------------------------------+------------------------------------
Total Closed Trades | 192
Total Net Profit | 64735.12 (647.35%)
Starting => Finishing Balance | 10000 => 74659.0
Total Open Trades | 0
Open PL | 0
Total Paid Fees | 10620.84
Max Drawdown | -24.83%
Sharpe Ratio | 1.2
Annual Return | 38.43%
Expectancy | 337.16 (3.37%)
Avg Win | Avg Loss | 1261.49 | 351.89
Ratio Avg Win / Avg Loss | 3.58
Percent Profitable | 43%
Longs | Shorts | 58% | 42%
Avg Holding Time | 3.0 days, 20.0 hours, 15.0 minutes
Winning Trades Avg Holding Time | 6.0 days, 11.0 hours, 19.0 minutes
Losing Trades Avg Holding Time | 1.0 day, 21.0 hours, 14.0 minutes
```
And here are generated charts:
![chart-example](/assets/chart-example.png)
## What's next?
This is the very initial release. There's way more. Subscribe to our mailing list at [jesse-ai.com](https://jesse-ai.com) to get the good stuff as soon they're released. Don't worry, We won't send you spam. Pinky promise.
PyPI 官网下载 | jesse-0.0.4.tar.gz
版权申诉
81 浏览量
2022-01-28
03:41:41
上传
评论
收藏 13KB GZ 举报
挣扎的蓝藻
- 粉丝: 13w+
- 资源: 15万+
最新资源
- Pytorch-pytorch深度学习教程之深度残差网络.zip
- Pytorch-pytorch深度学习教程之循环神经网络.zip
- Pytorch-pytorch深度学习教程之逻辑回归.zip
- Pytorch-pytorch深度学习教程之双向循环网络.zip
- Pytorch-pytorch深度学习教程之卷积神经网络.zip
- Pytorch-pytorch深度学习教程之前馈神经网络.zip
- Pytorch-pytorch深度学习教程之线性回归.zip
- Pytorch-pytorch深度学习教程之基本操作.zip
- 基于QT的地图可视化桌面系统后台数据库为MySQL5.7源码.zip
- 基于simulink的PLL锁相环系统仿真【包括模型,文档,参考文献,操作步骤】
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈