June 22nd 2021 @ 8:30 PM ET US BloodHound Fundamentals 101 Presented by: w/Jeremy Tang @ SharkIndicators Ever wish you had a magic genie who could snap his fingers and give you winning signals? We do! Too bad genies don't exist in the real world. Join Jeremy Tang of SharkIndicators to learn how to create your own trade signals quickly without learning to code. This isn't magic; this is for real traders who are serious about getting things done. - What to do if you are stuck with no idea where to start - How to quickly turn losing systems into winning systems - Bring your system building questions! Sponsored by: SharkIndicators SharkIndicators produces revolutionary software products for the retail trader. Our flagship products BloodHound and BlackBird allow retail traders the ability to create their own algorithmic trading robots without the need to code. Trade futures, commodities, forex, stocks and bonds faster, more efficiently and without emotion. Our most recent software, BlackBird, is changing up the trading game. With risk, trade, and money management capabilities, this ITM (Intelligent Trade Manager) really is the first of its kind. Webinar Recording:

About Jeremy Tang: Jeremy is the founder of SharkIndicators and Chief Architect of BloodHound and BlackBird; revolutionary trading software that allows traders to model their trade management rules and systems without coding, providing complete control and clear precise signals. With over 20 years of combined software development and trading experience, Jeremy is a rare breed. Jeremy’s company, SharkIndicators, is the result of his expertise, passion and devotion to the betterment of retail traders. His primary mission is to arm retail traders with the same power and technology once only privy to that of deep pocketed hedge funds. Jeremy is the founder of SharkIndicators and Chief Architect of BloodHound and BlackBird; revolutionary trading software SharkIndicators' BloodHound and BlackBird allow retail traders to create their own algorithmic trading robots without coding.

July 22nd 2021 @ 8:30 PM ET US Advanced Backtesting Workshop Presented by: w/Zac White @ SharkIndicators Have you noticed there is very little information out there on how to PROPERLY backtest trade systems? Backtesting is a bit of a black art! Join Zac White of SharkIndicators and learn how to avoid the pitfalls and understand the when and where to use backtesting as well as understand its limitations. - Learn the secrets of backtesting that the industry doesn't want you to know. - Discussion about the limitations of the trading platform’s backtesting engine - Tips and tricks to improve your backtest results #backtesting, #sharkindicators, #ninjatrader, #tradesystemanalysis Sponsored by: SharkIndicators SharkIndicators produces revolutionary software products for the retail trader. Our flagship products BloodHound and BlackBird allow retail traders the ability to create their own algorithmic trading robots without the need to code. Trade futures, commodities, forex, stocks and bonds faster, more efficiently and without emotion. Our most recent software, BlackBird, is changing up the trading game. With risk, trade, and money management capabilities, this ITM (Intelligent Trade Manager) really is the first of its kind. Webinar Recording:

About Zac White: Zac White is a co-founder and Product Specialist with SharkIndicators.com. He brings almost 20 years of trading experience and a wide technical background consisting of civil engineering, software programming, and IT logistics to the table. Zac has assisted countless numbers of traders to model their trading systems, helping them to backtest and auto-trade their systems. Zac is the foremost authority on using BloodHound & Blackbird and runs weekly training workshops sharing his expertise and experience, providing traders the advantage of harnessing state of the art software for robotic assisted or fully automated trading. Zac White is the Product Specialist with SharkIndicators bringing 20 years of trading experience and a wide technical background. SharkIndicators' BloodHound and BlackBird allow retail traders to create their own algorithmic trading robots without coding.

I own Bloodhound and Blackbird and they are great tools for quick back testing. However, they have a major shortcoming if you are interested in using them for back testing any indicators that require tick replay to be turned on. It seems many of the modern indicators based on order flow or delta require this. I have been very interested in trying them out but without being able to back test with a tool I paid a lot of money for I haven't been able to. There is another tool out there for trade automation called Markers Plus from the indicator store, which I own as well, and it has zero problems reading indicators that require tick replay but that tool cannot be used for back testing like Bloodhound in combination with Blackbird or Raven. So kind of a frustrating situation. The request to allow for tick replay has been in with Shark Indicators since, I believe, around 2016 from posts on this site where questions were asked of the developers. It is a little disappointing that such an otherwise robust tool is falling behind the times with regard to this when other tools like Markers Plus, that while very cool in and of themselves, are not quite at the level of Shark Indicators. So I guess this post is really my attempt to try everything I can to get Shark Indicators to step up and fix this once and for all so that we can use the tool with ALL of the modern indicators on Ninja that require tick replay. I have already submitted a support case and put my name on the feature request list. So this is kind of my last effort to try and get them to do this. If anyone else is on board with this please voice your opinion and maybe we can get them to add tick replay support. Thanks!

I concur,
I own both Sharkindicators and Markers Plus.
I have found Sharkindicators fairly limited when it comes to getting indicators to dance together for good signals or none at all. I guess it lost that new car smell.