> This was posted by Ali in this group in April:
> http://users.iems.**northwestern.edu/~armbruster/**
> 2008msande444/OrderBook.pdf<http://users.iems.northwestern.edu/~armbruster/2008msande444/OrderBook.pdf>
>
> They use the term High Frequency Trading, but they don't really mean it
> the way you and I might think of it.  It's very much what JBT is about,
> AFAICT.  I assumed you had read this and that it was the basis for your
> work.  If it is not, then, out of curiosity, where did you come up with
> this approach to trading?
>
>
Ok, yes, I remember that paper now. I think JBookTrader inspired that
paper, not the other way around



> BTW, I've seen it mentioned a couple of times that you get real-time level
> 2 for three symbols for free from IB.  What do you have to sign up for to
> get that?  My current ATS doesn't require real-time quotes, so I do not pay
> IB for any quotes.  And I don't recall seeing anything about free quotes,
> even for only three symbols.  Can you point me to that?
>

IB charges a $10/month fee for a data feed, which includes hundreds of
symbols of a regular feed, and 3 symbols for the L2 feed. If you want to go
beyond the 3 symbols, IB offers what they call "quote booster packs" for
additional monthly charge.



>
> On Tuesday, June 4, 2013 10:40:27 PM UTC-4, Eugene Kononov wrote:
>>
>>
>> Frankly, I've been around the block enough times with technical analysis
>>> to have essentially no faith in predictive trading methods.  I've been
>>> burned so many times by Fibs and MACD and other wiggly lines that I walked
>>> away from trading.
>>>
>>>
>> Ok, I think I understand now. You want to know if JBookTrader's notion of
>> book trading (based on the full depth of the exchange limit order book) is
>> superior to other more "traditional technical" which is based on price and
>> volume. Is that right? This is difficult to answer. I'll say one thing,
>> though. JBookTrader's predecessor was JSystemTrader, which had a very
>> "orthodox" approach, using the well known indicators, such as MACD, as you
>> mentioned. I've abandoned JSystemTrader because I could not find any
>> strategies with sustained performance. With JBookTrader, on the other hand,
>> I can see evidence of the persistent edge across different instruments,
>> such as the ES and the CL. Then again, it's up to you to explore just how
>> pronounced that edge is, by developing your own trading strategies.
>>
>>
>>
>>> I read the paper, Adaptive Strategies for HFT, and am intrigued but
>>> still skeptical about the concept.  That's what my OP was really asking
>>> about.
>>>
>>>
>> Got a link? JBookTrader is not really meant for high-frequency trading
>> where holding times are measured in milliseconds, the latency is measured
>> in microseconds, and the the number of trades exceeds hundreds and even
>> thousands of trades a day. JBookTrader can't compete in that space with the
>> co-located servers, high-end hardware, expensive data feeds, and complex
>> arbitrage models.
>>
>>
>>
>>> I now understand the theory; in practice, how are peoples' returns?
>>>  Eugene, I looked at the page you referred me to (a couple of the columns
>>> are not described in the User Guide), but the returns you show are backtest
>>> returns.  While I appreciate the value of backtesting, I'd like to know
>>> what happens in live trading and how the system deals with market shocks.
>>>  Have the low drawdowns shown in the backtest proven to be realistic and
>>> consistent over time in live trading?
>>>
>>>
>> In my particular case, the real time performance has not been as glorious
>> as the backtested performance, but it's good enough for me to trade.
>>
>>
>>
>>> I'm also wondering, based on the paper, just how heady the strategies
>>> need to be.  I am an electrical engineer, so I used to know all that
>>> complex math, but I've forgotten virtually all of it.  Can I hope to create
>>> effective strategies as a software developer and not a mathematician?
>>>
>>>
>> There isn't anything mathematically advanced in JBookTrader, beyond some
>> simple signal processing, such as filters and derivatives.
>>
>>   --
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