All Projects → brain-zhang → Xianglong

brain-zhang / Xianglong

资产配置方案

Projects that are alternatives of or similar to Xianglong

Alpha Mind
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Stars: ✭ 171 (+8.23%)
Mutual labels:  jupyter-notebook, stock
Tehran Stocks
A python package to access tsetmc data
Stars: ✭ 282 (+78.48%)
Mutual labels:  jupyter-notebook, stock
Stock2vec
Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Stars: ✭ 30 (-81.01%)
Mutual labels:  jupyter-notebook, stock
Cartoonify
Deploy and scale serverless machine learning app - in 4 steps.
Stars: ✭ 157 (-0.63%)
Mutual labels:  jupyter-notebook
Gpt2 Bert Reddit Bot
a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
House Price Prediction
Predicting house prices using Linear Regression and GBR
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Python Lrcurve
Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
Stars: ✭ 159 (+0.63%)
Mutual labels:  jupyter-notebook
Fastbook
The fastai book, published as Jupyter Notebooks
Stars: ✭ 13,998 (+8759.49%)
Mutual labels:  jupyter-notebook
Mixtext
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Stars: ✭ 159 (+0.63%)
Mutual labels:  jupyter-notebook
Tensorflow Dataset Tutorial
Notebook for my medium article about how to use Dataset API in TensorFlow
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Deepsets
Stars: ✭ 157 (-0.63%)
Mutual labels:  jupyter-notebook
Kaggle Environments
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Scalable Data Science Platform
Content for architecting a data science platform for products using Luigi, Spark & Flask.
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Covid19 mobility
COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
Stars: ✭ 156 (-1.27%)
Mutual labels:  jupyter-notebook
Trl
Train transformer language models with reinforcement learning.
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Notebooks
Stars: ✭ 157 (-0.63%)
Mutual labels:  jupyter-notebook
Hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Deep Q Learning
Tensorflow implementation of Deepminds dqn with double dueling networks
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Handyspark
HandySpark - bringing pandas-like capabilities to Spark dataframes
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook
Dss Pytorch
⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection
Stars: ✭ 158 (+0%)
Mutual labels:  jupyter-notebook

降龙四式

这是一个码农对于投资的所思所想,在经历了非常多的折腾之后,慢慢形成了自己的投资策略和风格;

这里记录了我理解投资的心路历程......

  • 这个世界上有两种永远成立的投资方法:基于选取资产标的获取超额收益,以及基于资产配置获取市场平均收益。
  • 对普通人来说,资产配置优于择时择股

资产配置选择包括不动产、国债、黄金、大类资产、比特币等数字货币,货币基金、银行固收、债券逆回购、可转债、地方债、企业债、分级基金、指数基金、个股、股指期货等;

个人能驾驭的不过是三样:不动产、债券、ETF

我个人认为除了中心城市的不动产有配置价值之外,其他城市只有使用价值,故而排除在外;以下我尝试着只利用权益类资产来构建一个可攻可守的组合。

为了娱乐自己,我总结出来的普适个人的资产配置方法称之为降龙四式;

降龙四式的核心理念是:好资产,低估值,拿的久。

第一式密云不雨

总流动现金的20%配置为现金、银行固收、货币基金、7天债券逆回购;

要求拥有完全的流动性和安全性;其边际风险等同于国债。这是完全的防守招式。

第二式潜龙在渊

总流动现金的25%构建一个可转债为主,信用债为辅的组合包;

这一招守中带攻,在第一式的基础上(两招相加45%的现金流)保证自己立于不败之地。

第三式亢龙有悔

总现金流的25% 价值平均策略定投低估指数;

选取宽基策略指数;根据PE、PB、ROE、十年国债收益率确定入场时机,根据凯利公式决定仓位,子弹五年陆续打完;

这一招以攻代守,在指数低估时间入场、利用定时不定额定投降低风险;

切记,只有在前两式基础上,才能施展此招;这三式已然能在江湖行走而自保。

第四式飞龙在天

将总资金的30%投入到你最看好的一项资产中,永远持有

这一招的难点就是如何永远持有?

答案很简单:持有就是买入;低买不卖,难度减半;

这一招具有极大的杀伤性,用的好伤敌一千,用的差自伤八百。一定要在前三式完全施展之后才能接续此招。

动态再平衡

20%,25%,25%, 30%的比例每年做一次动态再平衡,同时取出一年生活用的现金流。

总结

前三式配置了所有资金的70%,是个攻守结合的套路,并且每一式都充分考虑了安全边际,力求风险最小化;

最后一式是一往无前、只求进攻、落子无悔的拼命招式,带有大概率的赌的成分;其成败完全取决于个人眼光和运势;

施展飞龙在天,我个人认为最好要35岁之后,一旦施展,无从回头;

融会贯通

就像所有的武功招式一样,学到最后,返璞归真反而只剩一招;降龙四式最后也可以总结为一个永久组合,给不想为投资操心的小伙伴;

这个永久组合,是25%现金+25%债券+25%股票+25%黄金组合而来;我把这一招称之为:

降龙永久组合

进阶

降龙四式是一种练武的马步,大巧不工; 当自己感觉已经可以驾驭这套投资体系后,除了飞龙在天千人千面,需要各自修行,其它三式都有一个进阶Plus版本,可以继续深入修炼;

密云不雨Plus

潜龙在渊Plus

亢龙有悔Plus

降龙资产配置总纲

思维导图

知错录

平时关于一些投资的思考文章,最后形成一种备忘录的形式,以供自我批判;

https://github.com/brain-zhang/xianglong/wiki

永远要记住的事

最后,对绝大多数人来说,投资挣钱不过是生活的极小部分,我们不用做到那么专业,长期有个市场平均收益(6%~12%)就不错了;

人只要身心健康,控制欲望,生活就用不了多少钱; 多锻炼,多读书,就是最稳妥,最有价值的投资;

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].