4 factors to measure the performance of a trading system:

1 - Accuracy
There is no such thing as 90% Accuracy without compromising on other factors (like profit factor, etc)

Fact - A good trading system will have only 35-60% accuracy without compromising other factors.

(1/n)

2 - Profit Factor (PF)

It is similar to risk-reward. It is derived using the below formula:

Profit Factor = Total Profit by winning trades / Total loss by losing trades

Fact - A trading system above 1.2 PF is good if it scores well with other factors.

(2/n)
3 - Maximum Drawdown

The maximum drawdown also plays a vital role psychologically while picking a trading system.

Fact - Maximum Drawdown in any trading system should not exceed 20%. I suggest picking only the techniques which have less than 10% maximum drawdown.

(3/n)
4 - Maximum Consecutive Losers

We all feel bad even if we lose only Rs.1,000 in a trade. Because it is not only about the money, it is emotionally difficult to accept the failure.

Fact - A good trading system will have less than 15 consecutive losing trades.

(4/n)
TRADE LIKE CRAZY

10 Profitable Intraday Trading Systems, which are backtested against 10-years of Banknifty Historical Data!

(n/n)
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@franciscodeasis https://t.co/OuQaBRFPu7
Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the


chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project

starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".

P.D. somehow is able to use funds that he have yet recieved yet, and send results and sequences from late 2019 back in time into 2015,2013 and 2016!

https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?