Hello All
I am both a Python newbie & Quant newbie.
I am sure that the idea would not be new so I am looking for pointers for similar trading systems, similar ideas, papers discussing something similar or same, preferably from someone with backtested results of what works & how well.
I wish to backtest & evaluate, a portfolio of stocks, preferably high volume/volatility ones, maybe constituents of indexes. The portfolio is readjusted daily. Losing stocks are sold if anything is to be bought. If there are no losing stocks, least trending stocks are sold. Highest trending ones are bought everyday.
Second permutation would be buying on a few days swing but top trending ones...don't have much idea about this.
Would like to see what slippage & transaction cost does to such a long term portfolio and of course what happens to the capital?
Things of question are the best method & timing of determining the Trending Stocks and if it is of any use to have a percentage of fixed holding/component or bias for higher position size of most volatile & highest volume stocks.
Hope you guys can guide a newbie.
Thanks.
Sanjay.