Share New Research 
Hi all! I'm a beginner and I'm asking for help which sooner or later other beginners will need. I have programmed a Python algorithm based on Thomas Demark's high breakout using pandas DataFrame and have been trying to adapt it for QuantConnect. I simplify the code as much as possible so as not to overload my question.
def td_high(i): # this is a Thomas Demark's high
if (df.high[i - 1] < df.high[i] > df.high[i + 1]
return iHow to code a buy on the breakout of the last td_high? Any type of order (lmt, stp lmt or mrt). I didn't find any tutorials on this topic
Louis Szeto
Hi David
We recommend implementing that as a custom indicator. Then it would be easily comparable by:
Best
Louis
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
David Livshitz
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
To unlock posting to the community forums please complete at least 30% of Boot Camp.
You can continue your Boot Camp training progress from the terminal. We hope to see you in the community soon!