People who do quantitative trading have mostly fallen into the same trap:
Thinking that once you run a strategy, you can just lie back—and then the market throws you a curveball and gives your account a lesson in an extreme行情.
Later, you slowly figure out the truth—quant is not an all-powerful key, but it is the execution partner that keeps your emotions the most stable.
My setup is like this:
80% goes to quant—run strictly according to the strategy, no hesitation, no trembling, and no chasing breakouts or selling in panic.
20% is reserved for manual risk control—watch for extreme market moves, black swans, and those moments that models haven’t reacted to yet.
After running this combination, the biggest takeaway can be summed up in one word: stable.
Not the kind of thrilling “get rich overnight” stimulation—but the kind of grounded calm of watching the curve every day at the close not blow up, drawdowns remain controllable, and the strategy follow the plan.
High-frequency arbitrage and short-term trading, at their core, compete on execution speed and discipline.
In these two areas, humans are naturally no match for machines, but in terms of judgment and risk instincts, machines can’t temporarily replace people.
So the truly useful approach is to let quant tools help you push execution to the limit, while you’re only responsible for holding the final risk-control line.
If you’re also doing high-frequency arbitrage or short-term trading and want to try quant tools to see how much they can help, feel free to message me.
Gold: Will the world’s largest ETF fund’s continuous buying for five straight days signal that the bullish market is reigniting again?
After experiencing a strong catalyst from last Friday’s nonfarm payrolls data, gold has also successfully pushed through a highly explosive round of bullish action for the year in the short term.
And with U.S. July nonfarm payrolls coming in far below market expectations, it directly further pressured the dollar and U.S. Treasury yields that had been climbing continuously in the short term. Meanwhile, on Friday gold surged all the way up to above 4371, reaching a near-term peak. However, since it was late in the day on Friday, the short-term move also encountered large-scale profit-taking, leading the market into a period of choppy, downward consolidation. In the end, the daily chart ultimately printed a bullish candle with a clearly long upper wick.
For the weekly chart, as the price continued to rise throughout the week, it also finally closed with a full-bodied, strong bullish candle. The overall gain for the week is close to 7%. Currently, the price is at 4418. Looking at the medium term, the bullish breakout pattern has basically been firmly established.
No need to watch the charts, and no need to know programming—AI runs the strategy fully automatically. Mt4 and mt5 support cent accounts, so even small capital is easy to get started with!
As of now, the gold price has fallen by a cumulative 7.5% year-to-date, with the largest decline reaching 16.8% over the past three months. "The current pullback has lasted only 24 weeks, whereas the preceding uptrend lasted 121 weeks," a strategy team led by Paul Ciana said. "Although gold has broken below the 38.2% retracement level of $4,149, the magnitude of this pullback is still far smaller than the prior uptrend."\n\nIn other words, even though the gold price has broken through a key Fibonacci support level, the duration of this decline still appears too short—clearly lacking compared with the earlier bull market.\n\nBank of America offered a sobering historical comparison: since 1970, in each of the three gold bear markets, the pullback has at least matched 50% of the prior uptrend’s gains. If this time follows the same pattern, the downside risk for gold would point to $3,315.
On the eve of the 2026 World Artificial Intelligence Conference and the High-level Meeting on Global AI Governance, the new-generation model Kimi K3 was released on the 16th. Its parameter scale reaches 2.8 trillion. This is currently the open-source model with the largest number of parameters worldwide. Beijing Moonshot Technology Co., Ltd., the company that released the model, said that Kimi K3 natively supports visual understanding, with a 1-million-token context window. It is optimized for complex scenarios such as software engineering, knowledge work, deep research, and multimodal understanding, further enhancing large models’ ability to handle complex tasks.
England 1-2 eliminated: the World Cup century-old curse remains effective. Historically, no foreign coach has ever led a team to win the title. From 1930 to 2026, there have been zero exceptions. Under the management of Tuchel, England tried to break this curse, but ultimately failed. In the early hours of July 20 at 3:00 a.m. Beijing time, at the World Cup final Spain vs. Argentina, the homegrown coach led the team to victory— the rule held true.
Wang Sicong is probably really too lazy to make a change this time.
He never would’ve thought that after nearly forty, after all the picking and choosing, he’d end up just wanting to be convenient. His current girlfriend doesn’t chase attention or cause a ruckus—instead, she makes him feel at ease.
Before, swapping girlfriends was like changing clothes. Now, even just giving a new face a proper look feels too much trouble. No matter how much money he has, it can’t be burned up like this; finding someone steady to stay with is better than anything else. And honestly, this isn’t really love—it’s just finding a companion to share life and get through the days together.
Do you think this means he’s finally seen things clearly, or that he’s simply too tired to keep messing around?
US stocks crash, crypto crash, gold crash—brothers, are you still expecting a bull market? The only way out is to use the right quantitative tools to arbitrage for yourself!
Brothers! If you are trading forex and gold manually on MT4 or MT5, you can try the AI quantitative strategy developed by Feige’s technical team. The maximum drawdown does not exceed 10%, and the average monthly annualized return is 15% to 20%. In the financial trading market, having the right tool and strategy is extremely important. You need to feed the AI data every day, and there are updates and iterations every month—so that it can safeguard your trading career.
Recently, many fans have asked Feige: why choose to do gold AI quantitative trading instead of doing cryptocurrency quant trading? The foreign exchange and gold markets have a daily trading volume of $9 trillion, ranking first globally. Compared to crypto, their volatility is relatively moderate. The market size is large enough, and trading depth and liquidity are strong. In contrast, the crypto market—Bitcoin in particular—has a daily trading volume of tens of billions of dollars, with a comparatively smaller market size, making it easier for major institutions and exchanges to manipulate the market. Volatility is extremely high, and it’s difficult for algorithms to improve long-term positive expected returns. Therefore, gold is more suitable for AI quantitative trading to capture arbitrage opportunities.
Doing handmade single trades is too damn hard to stabilize profits. Luckily, Fei Ge has been researching AI quant strategies these past two years. Brothers, AI has no humanity—go all out with risk control: set red lines in advance, keep the maximum drawdown from going over 10%, and aim for an average monthly return of 10% to 15%. No need for brute force—slow is fast.