Context is characteristic functions (or also moment generating functions) in probability.
From Wiki:
To prove $$e^x = 1+x+\frac{x^2}{2!}+O(x^3) \ \text{as} \ x\to 0 \tag{*}$$, can we avoid splitting into cases, i.e. $x\to 0^{\pm}$?
For $x\to 0^{+}$, I guess $$\delta = 1, M = \sum_{n=3}^{\infty} \frac{1}{n!}$$ would work. For $x\to 0^{-}$, I think the same $\delta$ and $M$ could work but if we instead do: $e^x = 1+x+\frac{x^2}{2!}+O(-x^3)$ as $x\to 0^{-}$. I mean, if it's $O(x^3)$ instead, then how could we prove $\underbrace{|\frac{x^3}{3!} + \dots + \frac{x^4}{4!} + \dots |}_{+} \le \underbrace{M}_{+} \underbrace{x^3}_{-}$?
I think $(*)$ should instead be
$$e^x = 1+x+\frac{x^2}{2!}+O(\pm x^3) \ \text{as} \ x\to 0$$
or split into two cases:
$$e^x = 1+x+\frac{x^2}{2!}+O(\pm x^3) \ \text{as} \ x\to 0^{\pm}$$

It is wrong, and it possibly a matter of different definitions. In the case where the term instead big $O$ has to be strictly positive, we may use $O(|x^3|)$ instead of $O(x^3)$ as $x \to 0$. Likely, a proposition that uses $O(x^3)$ has a different definition of big $O$, namely one that does not require strictly positive term instead big $O$ or some other condition.