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Generally, for backtesting you have a few options. -Quantopian : Cloud based, aimed at algorithm development. -Zipline: Local version of Quantopian, tad complex to get setup and running right. -Backtrader: Open Source Python backtester with ability to trade live via the IB API. Learning curve, but probably the best of the free bunch. -Amibroker: Powerful backtest software but expensive ($400 for the complete package). They all will do what you want if you know how to program for them, that's where it gets tricky, as you have to set them up to load in your executions and how to handle the In-trade procedure. The tool I'm developing (and will eventually release to the community) loads your exported trades, caches the minute data for the stock, and then runs a bunch of simulations against that data before producing a report of comparisons to the baseline. For example if you wanted to compare what your PnL looked like if you never moved to breakeven and sold at R.5, R1, R1.5, and R2 levels, it'd do it. The report crunches the benchmark numbers and adds some meta data about each trade (e.g. calculated stop too close, risk reward ratio not adequate, scaled too early, didn't let run) - the goal is to give a broad brush idea to people about areas they may be able to hone their edge (a few trades flagged as scaled-too-early is just noise, a large percentage might be something to look at). The difficult part about this is making it user friendly. Not sure when I'll have it in a state to release, lots of projects at the moment so the passion development has to go on the back burner.

Hey All, Check out my really rough video on how I currently use the Stream Deck and a simple grid print-out to manage risk and share size. Polished version coming soon! Let me know if this is any help. https://drive.google.com/open?id=1Jzd8pXp0afvFEFZhG8d7mcCiwIF38li8

Yes i now but did a close stop loss losing max $25. I find this forum very this is for the first so quick replay. Thanks guys

Tomorrow will be interesting. NVDA and AMAT just two more examples of why I NEVER hold stocks through earnings release. People were saying 'its OK, the stock has come way off its highs so even if the earnings numbers are bad, they are baked in". They are rarely "baked in". I think this shakes the confidence of tech investors again and we could see another sell off tomorrow - especially being Friday. Will see what happens. Agreed LULU looks interesting, - sold off after hours due to other retailer reports....might be a good entry here but depends on market as per my comment above. An entry around 136 would be great for risk reward eh?