A strategy is one layer of a trading system
A strategy answers when a system may participate. A complete trading system also defines how an idea is tested, how much can be risked, how orders are validated and routed, what is logged, and how the system is reviewed after execution.
TradeBoTicks therefore works across strategy research and the infrastructure around it.
Step 1: Form a trading hypothesis
Research begins with an observable market behaviour or question. The idea must be expressed clearly enough to test rather than depend on hindsight or discretionary storytelling.
Step 2: Define rule-based strategy logic
Entry, exit and behavioural conditions are translated into explicit rules. This creates a repeatable object that can be tested and compared rather than a vague trading opinion.
Step 3: Backtest and challenge the idea
Historical behaviour is examined across a meaningful sample. We consider more than accuracy: risk-reward, drawdown, trade distribution, sensitivity and the assumptions behind simulated execution.
Step 4: Define risk before execution
Risk constraints are part of system design, not an afterthought. Relevant controls may include maximum acceptable loss, position sizing rules, stop-loss logic, trade limits and exposure constraints.
Step 5: Generate and translate the trade
When the live index strategy produces an eligible trade, it defines the trade structure on the underlying index through entry, stop-loss and target levels. The next layer evaluates real-time option-market data and Greeks to identify an eligible option contract and translate that structure into corresponding option-level entry, stop-loss and target values.
Step 6: Size and validate before execution
Before an entry order is placed, the risk layer combines the user's available capital with the maximum permitted exposure for that trade to calculate position size. System-state, position and execution checks are applied before routing the order to the connected broker.
Step 7: Execute, protect and monitor
The entry order is routed to the user's connected broker account. After a successful entry, predefined stop-loss and target orders are placed and monitored. Capital remains with the broker, and the user retains the ability to exit an active trade whenever they choose. Real execution can still differ from intended execution because of slippage, liquidity, latency, partial fills, rejections, broker/API behaviour or connectivity failures.
Step 8: Log, review and refine
Signal and order events are logged for reference and analysis. Those records help TradeBoTicks investigate execution quality, compare expected and observed behaviour, and frame future research questions.
How OptionTurtle fits into the system
OptionTurtle is the first operational product built on this infrastructure. It translates TradeBoTicks' research, risk and execution technology into a simpler trading experience: the repeatable trading workflow moves into the system, while the user retains control of the broker account, capital, system activation and the ability to exit an active trade.
The objective is not automation for its own sake. Where a trading decision can be defined systematically, we prefer predefined logic over asking the trader to recreate the same decision under market pressure.
The system is more than the signal
Markets change, strategy logic changes and research evolves. Risk discipline, validation and observability remain necessary across those changes. That is why TradeBoTicks treats a signal as an input to a system—not the system itself.