Now put the pieces together. At a high level, an automated strategy watches information, evaluates its conditions, checks whether an action is allowed, and may submit a request. After that, the response and any resulting position or transaction need to be inspected. This sequence is the useful public explanation. You do not need a creator's private formulas or exact thresholds to understand the difference between a possible action and a completed one. Watching is the information stage. Evaluating is the decision stage. The strategy considers the information according to its defined behavior. It may decide to wait. It may identify something worth acting on. The conditions can change before anything is completed. This is why seeing a promising market, or seeing an item in a candidate view, does not mean that the account has already bought it. Next come the relevant checks. These can involve strategy availability, enabled state, the account and mode, funds or allocation, connection capability, and the current trading controls. Think of them as questions that must be answered, not as a countdown toward an inevitable purchase. A strategy can have a reason to act while the account does not currently have the capacity or permission for that action. A request is the instruction sent for processing. In Paper, the activity is handled in the practice context. In Live, the authorized exchange route is involved. Keep those contexts separate when reading results. The important point in either case is that requesting and completing are different events. A loading indicator, a changed button, or a brief notification does not replace checking what was actually recorded. A fill is an executed amount of an order. The amount, price, fees, and timing may differ from what you expected while looking at a quote. Some outcomes may be incomplete or unsuccessful. Look at the fields and status that the app actually provides. Do not describe a submission as a completed purchase until the available result supports that description. When information is incomplete, keep that uncertainty in your explanation. Here is a fictional example. A strategy identifies a market, but no position appears immediately. You inspect the correct account and mode, then look for the relevant result in Transactions and Portfolio. If the result is still uncertain, investigate before placing another order by hand. Repeating an action simply because you have not seen its outcome can create a second exposure rather than clarify the first one. Once you find a recorded result, connect it to the strategy, account, market, and time involved. A similar-looking transaction from yesterday is not confirmation of today's request. A position owned by another strategy is not confirmation either. Those identifying details let you follow the actual sequence instead of constructing a story from unrelated numbers on different screens. For your checkpoint, describe the sequence in five plain steps: observe, evaluate, check, request, and verify. Then identify where waiting could occur. It can happen before a request, and uncertainty can remain after a request. Understanding that sequence makes automation easier to supervise because you can ask which step you are looking at instead of asking only why the robot has not bought something yet.