Analyzing free BTC trading signal service?

(Last Updated On: April 3, 2020)
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Here is a brutally honest to these fair but skeptical questions about this free Bitcoin and/or Ether signal service

Free trading books https://quantlabs.net/
or learn algo trading https://quantlabs.net/dvd

I be interested to take a peek at your signals (on the free offer basis only)

Here some questions to answer first:

  1. is this signal only service with manual trading or you have a full automated  “trade copy” service setup on Binance
  2. is this a day trading signal service or is a medium/long term signal service. if it qualify as HFT (milliseconds or less trading) I need to know a lot more about latency of the offer and how that affects the performance statistics
  3. related to 2 what is the average frequency of signals – how many to expect per defined timeframe you use
  4. do you have and can share analytical statistics (trade R/R , win/loss ratios, peak-valley equity, sharpe ratio, distribution of trade returns, Monte Carlo simulations, etc)
  5. backtest performance and details of signals for at least 1 year or >10000 periods defined at 3 (selected interval to include up/down/choppy periods plus low and high volatility)

Have spent the 5 min to see the video, but do not understand how you can qualify as “volatile” the last days when we are in a daily range of less than 2K for BTC for more than a week already, please explain cause for what I am doing here that is extremely low volatility for crypto assets.

All based on this video

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
This entry was posted in Bitcoin Crypto Currency, Premium Membership on by .

About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs