An options sniper is a trading approach with one rule at its centre: take a single position per session, in the first minutes after the open, on a name you researched before the bell. No second entry, no averaging down, no trading the rest of the day.
The name is about discipline rather than speed. A sniper does not fire more often than a rifleman because they are quicker — they fire once because the shot was prepared. The whole approach stands or falls on whether that one entry is any good.
The opening minutes of a session have a shape that repeats often enough to trade. Price drops off the open as early orders clear, finds a low, and reverses. An options sniper is trying to buy that reversal — not the drop, and not the momentum after everyone has noticed.
In practice that means watching a single contract's price tick by tick and waiting for three things in order:
That third condition is the whole difficulty. Wait too little and you buy a dip that keeps dipping. Wait too long and you pay the price the reversal was supposed to get you below. Every parameter in the strategy is a position on that trade-off.
The setup is a move of well under one percent in the underlying. That is not worth trading in shares. A short-dated, slightly out-of-the-money option turns a 0.5% move in the stock into a double-digit percentage move in the contract, because its price is dominated by how fast the underlying is moving relative to how little time is left.
The same leverage works in reverse, which is why the approach is unforgiving of a bad entry. A contract that would have gained 40% on a correct read can lose 40% on an incorrect one within the same few minutes.
Three things, in order:
| Stage | What it does |
|---|---|
| Research | Before the open, picks one ticker and a direction, with a confidence score |
| Entry | Watches the contract tick by tick and fires on the reversal condition |
| Exit | Works a bracket: a first target, a runner, a trailing stop, and a time stop |
The reason to automate the middle stage is not that software is smarter. It is that the reversal window is seconds wide, and a person watching a screen reliably takes 30 to 60 seconds to recognise a low, decide, and click. A bot that samples four times a second takes it in two or three.
Most discussion of these strategies is about targets — where to take profit, how far to trail. In testing, the variable that dominates the outcome is not the target at all. It is how much a failed setup costs, because the stop also defines the initial trailing level, and failed setups are the only trades that lose money.
The most common and most damaging error. If your simulation gives every session a clean dip and recovery, the strategy is being handed its premise on every single day and then graded on how well it exploits it. Any configuration looks profitable. The case that must be modelled is the failed reversal: a bounce that rises far enough to trigger the entry, fills, and then rolls over. That is the trade that loses money, and a model without it is not a test.
If a backtest is tuned until its win rate matches a number you supplied, the result is that number reflected back at you. The win rate has to be an output of the simulation — something that falls out of market dynamics, a research hit rate, and the exit rules — not a dial.
A standard brokerage account shows delayed options quotes. A strategy that depends on catching a reversal within seconds cannot be run on data that is minutes old; it will place orders against a market that has already moved. This is not something software can work around.
Leverage plus a high win rate is a combination that feels safe and is not. The question is never the average outcome — it is what a run of two or three losses in a row does to the account, because with short-dated options that run will happen.
Short-dated options can lose their entire value in minutes. Anything described here is educational, not financial advice, and automated trading places real orders without asking you first.
Options Sniper is a desktop implementation of this approach for Windows and macOS. It researches one play each morning, hunts the entry tick by tick, and works the bracket. It runs in paper mode by default and ships with a simulator so the whole system can be put through thousands of sessions before any money is involved.
The program goes open source on 30 October 2026, with early access from 2 October. It ships with no strategy of its own — deliberately, since a default strategy inside an open-source program is a published one. What to trade and when lives in a separate Logic Pack you either build yourself or load.