livedeployment

The comfort of instant fills on a demo account often masks critical operational differences you'll encounter when deploying live capital. ⚠️

Understanding these nuances is the difference between a successful launch and unexpected failure.

To bridge the gap safely, follow this controlled, phased approach:

1. Confirm the live symbol names your broker uses, as these can vary (e.g., one broker using XAUUSD while another adds a suffix). Remember that WolfBot handles mapping your internal symbol to the broker's required name, but you must provide the correct mapping guide information beforehand.
2. Be aware of the operational limitations of live trading sessions. Strategies that run 24/7 on demo might fail to fill if the actual instrument has defined session open/close times or observes weekend breaks.
3. Crucially, re-verify your live account's margin and leverage rules, as lower live leverage can require significantly more margin per position than what was shown in demo testing.
4. Follow this sequence: first, confirm live symbol names and sessions; second, confirm live leverage and margin rules; third, run the smallest possible live size for one full week; and finally, only scale up after daily comparison of fills, spreads, and margin use confirms stability. ✅

Treat this initial live deployment as a controlled experiment using minimal capital, prioritizing rigorous data comparison over excitement.

For a detailed breakdown of these differences, review this guide: https://community.wolfbot.io/docs/mt5-demo-vs-live-what-changes. 📊

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⚠️ Remember: 'Same settings' does not guarantee 'same results' when moving from backtesting to live trading. Real-world variables like spreads, order-book depth, and latency are often omitted in simulations.

Here is the methodical path for transitioning your proven logic from paper to production using WolfBot:

1. Start by running the strategy on the smallest possible live size, keeping all settings the same.
2. Only after establishing stability, proceed by changing *one* variable at a time (e.g., widening slippage or altering the entry order type).
3. To compare results honestly, don't compare PnL directly. Instead, compare the *behavior*: check if live entry prices are within your expected slippage budget, if exit levels fire as expected, and if the cycle count is similar.
4. Expect specific differences: fills may degrade due to slippage, timing won't be instantaneous (due to API processing), and all transaction fees will become immediately visible.
5. If the live behavior is structurally different from the simulation in an unexplained way (beyond just fees/slippage), pause and return to simulation. This is the most cost-effective debugging step.
6. For a detailed review of this process, consult this guide: https://community.wolfbot.io/docs/paper-to-live-same-settings

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