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1. If a bot can identify very improperly priced securities much more often and easily than I can, then I would trade more frequently yes 2. no idea what you me

1. If a bot can identify very improperly priced securities much more often and easily than I can, then I would trade more frequently yes 2. no idea what you mean. rh is free and fidelity is 6 usd 3. find things that are very improperly valued and buy options on it, or trade JNUG/JDST 4. stockcharts.com and optionsprofitcalculator 5. sure, a few bucks if you have good video guides or text guides or free trial 6. by myself 7. tabs

cbe 8y ago
Thanks for the response... For number 2: By ensure, we mean bring greater certainty and confidence on specific trades with artificial intelligence. Often trading ideas are validated through trial and error placing buy/sell orders that may or may not be filled. We are increasing the probability your trades are filled and at the min/max (on any given day, for example). For number 7: Tabs is the correct answer.
- anoncoward111 8y ago
  Cool :) It sounds like it is more geared to day trading and scalping a few cents off the bid/ask spread? Apologies if my hunch is wrong. 90% of my time is spent searching for heavily improperly valued stocks. Sort of like, should TSLA be worth $0, $250, or $1000, and by when? Waiting for an entry point is less of a concern to me because I'm looking for things that are fundamentally priced wrong long-term, rather than just technically priced wrong for the week. Does your product ingest data regarding RSI and financial data? Or does it just focus on the order book? Thanks and goid luck!!
  - cbe 8y ago
    I greatly appreciate your feedback. Your hunch is on the right track, but it is a little bit different. For example, you may be choosing (or out of necessity/priorities) to sell a stock. We offer predictive intelligence that would indicate it may be better to sell it tomorrow, or next week, instead of today. Or, the reverse, it may be better to sell it today, rather than waiting. Your point about Tesla is a good one and offers another example. Perhaps you hold Tesla at X price because you believe in the intrinsic value. However, you also want to take advantage of the volatility. So, you may use a portion of your resources to trade it a few times a month. Just by predicting highs and lows with high probability you could capture additional returns. Both of these examples could add a few percentage points to your returns depending on the account size. And that could mean a few hundred or a few thousand dollars during whatever interval your trades are executed (monthly/quarterly). So, more than just scalping pennies. We are actually less focused on the order book and more focused on broader data including RSI and financial data. Our API is an interface for 3rd party data APIs or you can bring your own data. You might have sentimental data, or data on trade tariffs, and we make it easy (no programming necessary) to model that and make predictions.

cbe 8y ago

Thanks for the response... For number 2: By ensure, we mean bring greater certainty and confidence on specific trades with artificial intelligence. Often trading ideas are validated through trial and error placing buy/sell orders that may or may not be filled. We are increasing the probability your trades are filled and at the min/max (on any given day, for example). For number 7: Tabs is the correct answer.

anoncoward111 8y ago
Cool :) It sounds like it is more geared to day trading and scalping a few cents off the bid/ask spread? Apologies if my hunch is wrong. 90% of my time is spent searching for heavily improperly valued stocks. Sort of like, should TSLA be worth $0, $250, or $1000, and by when? Waiting for an entry point is less of a concern to me because I'm looking for things that are fundamentally priced wrong long-term, rather than just technically priced wrong for the week. Does your product ingest data regarding RSI and financial data? Or does it just focus on the order book? Thanks and goid luck!!
- cbe 8y ago
  I greatly appreciate your feedback. Your hunch is on the right track, but it is a little bit different. For example, you may be choosing (or out of necessity/priorities) to sell a stock. We offer predictive intelligence that would indicate it may be better to sell it tomorrow, or next week, instead of today. Or, the reverse, it may be better to sell it today, rather than waiting. Your point about Tesla is a good one and offers another example. Perhaps you hold Tesla at X price because you believe in the intrinsic value. However, you also want to take advantage of the volatility. So, you may use a portion of your resources to trade it a few times a month. Just by predicting highs and lows with high probability you could capture additional returns. Both of these examples could add a few percentage points to your returns depending on the account size. And that could mean a few hundred or a few thousand dollars during whatever interval your trades are executed (monthly/quarterly). So, more than just scalping pennies. We are actually less focused on the order book and more focused on broader data including RSI and financial data. Our API is an interface for 3rd party data APIs or you can bring your own data. You might have sentimental data, or data on trade tariffs, and we make it easy (no programming necessary) to model that and make predictions.