Day 9 of the ongoing Pocket Option Auto Trader series puts the spotlight on a newly‑tested setup called “Triple Confirm.” In a live demonstration the creator runs the bot on a five‑second closing window, aiming to capture faster, more reliable signals. The video shows the entire process – from selecting the strategy in the desktop interface, through the bot’s automated trade execution, to the final outcome of the test. For traders who have been following the series, this is the ninth entry in a systematic evaluation that began with ZigZag Reversal and has already covered a wide range of technical indicators. The consistent theme is simple: let the bot handle the repetitive work while the trader observes how each strategy behaves under identical market conditions.
🤖 Get the Pocket Option Auto Trader Free
The bot used in this video is available free for users who want to test automated Pocket Option trading with the same type of setup shown in the video.
Desktop users: Get the desktop bot here
Mobile users: Open the mobile bot page here
What happened in the video
The presenter opens Pocket Option’s desktop client, activates the Auto Trader module, and selects the “Triple Confirm” strategy. The bot is configured to close each trade after five seconds, a timeframe that forces the system to react to very short‑term price movements. Throughout the recording the screen displays real‑time market data, the bot’s decision logic, and the resulting trade entries and exits. Every trade is marked with a green “win” or a red “loss” icon, allowing viewers to see the raw outcome of each five‑second interval. The video is narrated in real time, highlighting moments when the bot waits for a stronger confirmation before committing capital, and pointing out how the strategy filters out weaker signals that would have otherwise triggered a trade.
The test is framed as “Day 9 of the strategy test series,” and the creator reminds the audience that each previous day examined a different indicator or combination of indicators. By the end of the session, a summary table appears, tallying the number of winning trades, losing trades, and the net result for this particular run. No claims are made about future performance; the focus remains on the methodology and the transparency of the live test.
Why this test matters
Short‑term trading strategies—especially those operating on sub‑minute timeframes—are notoriously sensitive to market noise. A single false signal can erase the gains of several successful trades. The “Triple Confirm” approach attempts to mitigate that risk by demanding three independent confirmations before a trade is opened. Testing the strategy on a five‑second close provides a clear view of how well the extra filters work when the market moves quickly.
For anyone evaluating automated trading tools, the video serves several purposes. First, it demonstrates that Pocket Option’s Auto Trader can be programmed to follow a multi‑layered entry logic without manual intervention. Second, it supplies a benchmark: traders can compare their own results against the win‑loss ratio shown in the video to gauge whether the bot’s settings need adjustment for different assets or volatility conditions. Finally, the test strengthens the credibility of the broader series by showing that each strategy is subjected to the same disciplined framework, thereby offering a comparative database for serious traders.
How the Pocket Option Auto Trader works
Pocket Option’s Auto Trader is a built‑in automation engine that executes trades based on pre‑defined criteria. Users select a strategy from a menu, configure parameters such as the closing time, risk per trade, and any additional technical filters, and then let the bot monitor the market 24/7. When the conditions of the chosen strategy are met, the bot places a trade automatically, sets the stop‑loss and take‑profit levels (if defined), and closes the position after the specified interval—in this case, five seconds.
The “Triple Confirm” strategy specifically requires three separate signals to align before a trade is launched. While the video does not list each component, typical implementations combine momentum oscillators, trend indicators, and price action cues. The bot evaluates each condition in real time; only when all three are satisfied does it consider the trade valid. This layered approach reduces the likelihood of entering on a transient spike that lacks broader market support.
The desktop version offers a full‑screen control panel, allowing users to tweak settings down to the millisecond. The mobile version replicates the core functionality, making it possible to activate, pause, or stop the bot from a smartphone. Both versions draw on the same underlying algorithm, ensuring consistency across devices.
Why automation can help remove emotional trading
Human traders are prone to bias. Fear can cause premature exits, while greed may lead to over‑extension. By delegating entry and exit decisions to an algorithm, the trader eliminates the moment‑to‑moment emotional tug‑of‑war. The Auto Trader follows the exact logic defined in the strategy, executing trades with speed that would be impossible for a manual operator on a five‑second timeframe.
Automation also enforces discipline. Once a risk percentage per trade is set, the bot will never exceed it, regardless of market excitement. This consistency is especially valuable in high‑frequency environments where a single lapse—such as hesitating for a second—can turn a potential profit into a loss. Moreover, the bot records every action, creating a transparent audit trail that can be reviewed later for performance analysis.
By using the “Triple Confirm” setup, traders benefit from an additional safety net: the strategy itself is designed to filter out low‑confidence signals, further reducing the chance that the bot will act on market “noise.” The combination of a robust entry filter and rigid, emotion‑free execution is the core advantage highlighted throughout the video.
Who this bot is for
The Pocket Option Auto Trader, as demonstrated in the Day 9 test, is best suited for traders who:
- Prefer systematic, rule‑based trading over discretionary decision‑making.
- Have a working knowledge of technical indicators and wish to experiment with different combinations.
- Are comfortable monitoring short‑term timeframes and understand the implications of rapid trade turnover.
- Desire a hands‑free solution that can operate on both desktop and mobile platforms.
- Seek a free entry point to test automated strategies before committing to any paid services or premium bots.
Beginners may find value in the series’ step‑by‑step approach, as each day introduces a new strategy and explains the logic behind it. More experienced traders can use the same bot to back‑test custom configurations, adjusting parameters such as closing time, risk per trade, or the specific indicators that constitute the “Triple Confirm.”
How to get the bot
Access to the exact bot shown in the video is provided at no cost. Desktop users can download the version directly from the link below, which opens a secure landing page on the Pocket Option site. Mobile users can locate the application in the Google Play store via the second link. Both versions require a Pocket Option account; once logged in, the bot can be activated from the “Auto Trader” section of the platform.
Desktop: Get the desktop bot here
Mobile: Open the mobile bot page here
After installation, the user should open the Auto Trader module, select “Triple Confirm” from the strategy list, set the closing time to five seconds, and define the desired stake per trade. The video provides a visual guide to these steps, making it easy for newcomers to replicate the exact configuration.
Risk note
Trading involves risk, and results can vary. The video shows one test or session, not a guaranteed future result. Users should start carefully and only trade with money they can afford to risk.
Get the Pocket Option Auto Trader
The same bot shown in this video is available free for users who want to test the setup.
Desktop: Get the desktop bot
Mobile: Open the mobile bot page
