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New EA DeepGold LLM EA – when gold listens to artificial intelligence (well, almost)

DeepSeek, like a real star, decided to rebrand itself — and our good old deepseek-chat model went on a well-deserved vacation, and it was replaced by deepseek-v4-pro and deepseek-v4-flash.

The adviser, not understanding the humor, tried to reach the old model and received an HTTP 400 response like "guy, where are you calling, there is no such model anymore."

What has changed:

Changed the model name in the code from deepseek-chat to deepseek-v4-pro.

Now the AI is back in touch, smarter than before and ready to predict gold movements, rather than drawing errors in logs.

If you have an older version, just download the updated version. Now the advisor is back online, and DeepSeek has stopped pretending to be unavailable. Profit for everyone and no 400 mistakes!
 

Attachments

NPNavigator said:
Hello, colleagues!

Now our "golden" AI advisor has stopped being stubborn as a sheep and has learned to obey his master.

What was added:

• Two new fields in the settings: LLM_BuyThreshold and LLM_SellThreshold

(search in the "AI Settings (DeepSeek)" group).

Previously, the thresholds were tightly sewn in:

prediction >= 0.65 → BUY, prediction <= 0.35 → SELL.

Now you decide for yourself with what confidence the AI should open a deal.

If you want, tighten the nuts to 0.8 and 0.2 in order to trade only "reinforced concrete" signals.

If you want, loosen to 0.6 and 0.4 and catch more movements (but with popcorn, because it can be stormy).

Now, instead of "the robot thinks you're a sucker and ignores your wishes," we have a "henpecked robot" - turn the sensitivity knob and watch as it obediently runs to open positions.

Try it, experiment, and share the results. Version 1.4 is already in the topic header. Profit for everyone!
Click to expand...
hello
i am facing "HTTP 400" error, removed EA from the chart and added again, but still same issue. please give me solution
 
For gold robots, I usually separate the signal logic from the execution assumptions. The same idea can look solid in a backtest, but I would want to compare it across spread regimes, then check out-of-sample behavior and forward-test drift. Session timing matters too, especially when liquidity thins out or the broker widens spread around news. If the result changes a lot when those inputs move, the edge is probably too fragile.
 
Otabek said:
hello
i am facing "HTTP 400" error, removed EA from the chart and added again, but still same issue. please give me solution
Click to expand...
The HTTP 400 error is not a glitch, it's DeepSeek that has granted an "amnesty" to old models and retired deepseek—chat. The counselor knocks on her door out of habit, and she says, "There's no such model anymore, come back tomorrow."

The full detailed analysis of this problem lies in message No. 62 — there I tell you what to replace the model with so that everything starts up again.

So scroll a little higher, read post No. 62, download the updated version — and let the gold work for us again, not on the log screen!
 
samshoshoEA said:
For gold robots, I usually separate the signal logic from the execution assumptions. The same idea can look solid in a backtest, but I would want to compare it across spread regimes, then check out-of-sample behavior and forward-test drift. Session timing matters too, especially when liquidity thins out or the broker widens spread around news. If the result changes a lot when those inputs move, the edge is probably too fragile.
Click to expand...
I am also in favor of having the logic of signals and execution live in different "apartments" — this makes it easier to understand who is messing up: the predictor neural network or the crooked hands of a broker with an extended spread on the news.

Everything looks beautiful on the backtest — the graph goes into space, no martingales are needed. But once you turn on a realistic spread, add slippage, and remove the Asian session with its ghost spikes— the Grail turns into a pumpkin.

The Expert Advisor already has a session filter and a spread check — this is the first echelon of defense against market brutality.

Comparing the behavior on different configurations is like a test drive of a car in ice and rain: if it drifts on a wet road, it means that the suspension is not very good, and the advantage is really fragile.

In short, the idea is sound — dig deeper, test harder.
 
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