  In this paper non-asymptotic exponential and moment estimates are derived for
tail of distribution for discrete time martingale under norming sequence 1/n,
as in the classical Law of Large Numbers (LLN), by means of martingale
differences as a rule in the terms of unconditional moments and tails of
distributions of summands.
  We show also the exactness of obtained estimations.
