Automated Trading Strategies on ATAS: How a Custom Trading Bot Is Built
Recognizing an entry signal manually is one thing. Executing it under time pressure, multiple times a day, exactly the same way every single time, is another. That's precisely where automated trading strategies come in: they execute a fixed rule set consistently - without hesitation, without exceptions, and without the influence of mood or emotion.
What an automated ATAS strategy actually does
Technically, an automated strategy in ATAS is a program built in C# that checks the current price and order flow data on every new tick or bar, compares it against a fixed rule set, and - once the conditions are met - automatically sends entry, exit, and stop orders through the connected data feed. Every single decision can be logged and reviewed afterward.
From trading idea to a working bot
- Describe the rule set in plain language: entry, exit, stop-loss, position size, and any session filters
- Translate it into clear, deterministic code - every rule has to be expressed so a machine can evaluate it
- Backtest against historical data as a first sanity check of the logic
- Forward-test or paper-trade in a demo/sim environment before real capital is even considered
- Handover including documentation - minor adjustments afterward are included in the price
Have a strategy in mind but no code yet?
Describe the rules - entry, exit, risk. We'll handle the rest. The quote is free and non-binding.
Request a projectImportant limits and risks
No matter how consistently an automated strategy follows its rules, it remains a technical tool - not a guarantee of profit. No algorithm can predict future market movements, and even a cleanly built bot can lead to significant losses. Backtests and simulations show how a piece of logic would have behaved in the past - that is not a guarantee of future results. Automation removes emotion from execution, not market risk from trading.
More detail on this is available in our Risk Disclaimer.
Anyone who has a strategy developed remains fully responsible for risk management, capital allocation, and the decision of whether and when to trade with real capital. SITA Capital delivers the technical tool along with documentation - the trading decision and the risk that comes with it remain with the trader. Before using any strategy with real capital, we strongly recommend extensive testing in simulation mode.
What a good bot needs beyond the rule set itself
- Clearly defined exit logic for both winning and losing trades, not just an entry trigger
- Position sizing and per-trade risk control instead of fixed lot sizes
- Filters for trading sessions, news events, or low liquidity
- Monitoring and alerting in case the strategy stops unexpectedly or an error occurs
Frequently Asked Questions
Can a trading bot guarantee profits?
No. No bot and no software can guarantee profit, performance, or functional reliability. Automated strategies are purely technical tools - not investment advice and not a financial service.
Do I need an always-on PC or a VPS?
For live operation, yes - the strategy needs to run while the market is open. Whether a local machine or a VPS makes more sense depends on your trading hours and your own availability.
Can an existing manual strategy be automated?
In most cases, yes, as long as the rules can be defined clearly and without subjective interpretation. That's exactly what gets checked together in the first conversation.
Which data feeds and brokers does ATAS support?
ATAS connects to several data feeds and brokers through its own connectors. Which connection fits a specific project is clarified directly while preparing the quote.
Have an idea for ATAS?
Tell us about your project - you'll get a free, non-binding quote within 24-48 hours.
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