Scan to Strategy


Category:
0
0

Okay guys so I’m trying to gain the ability to backtest a momentum strategy that I normally use as a scan The criteria for the scan are 1.5 times above average volume, gap up or low>high[1] and a exit signal that either occurs at the end of the week or in the form of a trail stop I’ll post a picture of the scan

Attachments:
Marked as spam
Posted by (Questions: 1, Answers: 1)
Asked on July 31, 2019 10:45 pm
176 views
-1
Private answer

We published an entire video dedicated to this topic:

https://www.hahn-tech.com/thinkorswim-scan-to-strategy/

It is expected that the first three filters in your scan are already accounted for before you plot the symbol on the chart for backtesting. You only need to convert the two Study Filters over to the Chart Strategy. The video shows exactly how to do that part.

Marked as spam
Posted by (Questions: 37, Answers: 4087)
Answered on August 2, 2019 11:25 am
0
Okay, thanks! I’m still going through the learning curve on this stuff and really appreciate you simplifying it for me. I’m pretty committed to mastering this because I do whatever I can to get better at trading and think this is a good avenue. Any high probability strategies that you may have found yourself?
( at August 4, 2019 2:13 pm)
0
High probability trading strategies..... Sorry, I gave up trading when I realized I didn't have the guts to tough it out. Never found that "holy grail" that would enable me to make money trading and still get a great night's sleep. And at my age a great night's sleep is worth all the gold in the world. Having said that. Let's think about that phrase: "High probability". When we talk about probabilities we are speaking of the "edge". So a high probability trading setup would mean the edge is greater than 50/50. However you don't need to have a high probability setup in order to make money. And having a high probability setup does not ensure profits. How is that you ask? Check this article for the details: https://www.hahn-tech.com/strategies-winning-percent-versus-risk-reward/
( at August 4, 2019 3:16 pm)