Trade Allocation Signaling App (*BETA)
Buy and hold investing has a pitfall that if one misses few
specific days in the market, the returns are sub-optimal, sometimes
worse than index funds. Furthermore, with the availability of margin
loans, some investors have lost most of their capital due to wrong
timing/allocation.
So, this app strives to provide some buy/sell signals as well
as conditional trades based on market condition and timing.
Buy/Sell/Hold signal:
The application uses a subset of all US stocks & some ETFs that are
filtered for positive visibility and some form of future proof. These
are then checked for each stock's future growth prospect over a 2-3
year period. Based on this, a rating/weight is applied.
These weights are further filtered by sectors so that not one sector
is overweight in the result. The top & bottom ten of these filtered
stocks are presented in that page.
Watch-list and conditional trades (*Not yet ready, Still a
POC):
This sends eMails as well as SMS messages on buy/sell signals to the
subscribers. One can set trigger signals based on some factors such
as price, volume, growth rate, some fundamental/technical values or
even combination of these.
Robot Trader (Internal):
The robot trader uses a larger segment of these filtered stocks as
input and does automatic buy/sell based on the following conditions:
- Overall market condition.
- Sector rotation by Institutional Investors.
- Individual stock's time/value based discount.
These trades last for either duration/expected amount of growth or
even long term based on screening/allocation strategy.
Notes:
- This app is primarily designed for my own consumption and I
take no responsibility of capital loss for anybody else.
- The data quality for all these screening are not good as
these are not paid data, rather whatever is available from the
online brokers.
- The pages will be updated once a day after trading time
EOD.
- Profit is not guaranteed nor assumed as this depend on the
overall market condition as well as many different factors such as
US FED direction, bond market situation, international changes and
other factors.
Source Code:
The code is private but there are some public components, like web
service clients that can be useful.
These are in my
GitHub account.