Inside the Lujiazui trading room, air seemed sucked out, leaving only the suffocating sensation of data‑streams rushing silently. On the huge screen wall, every pixel throbbed violently, coalescing into a curve representing the international gold price—a golden dragon churning ceaselessly. Today was a global capital‑market focal point: the day of the Federal Open Market Committee (FOMC) interest‑rate decision and subsequent chair press conference.
For most market participants, this was a gamble based on news, sentiment, instinctual reaction. Would the rate decision be hold, hike, or cut? Was the dot‑plot's implied future path hawkish or dovish? Would Powell's wording be strong or mild? Any subtle difference could stir towering waves in gold—the world's most liquid asset.
Yet to Mozi, this wasn't pure gambling but a strategic game based on deep computation, probability weighing, and precise execution. In his arsenal, besides the increasingly mature [Volatility Model] and the nascent[Trend Model] infused with Yue'er's "deterministic thinking," there was a set of **[Event‑Driven Models]** specifically designed for handling such major macroeconomic events.
The core logic of these models wasn't trying to "predict" the Fed's specific decision—that was nearly Mission Impossible, full of uncontrollable political and human factors. Their essence lay in analyzing and trading the **"deviation" between market expectation and actual outcome**, and the **price‑action patterns** triggered by such deviation that models could capture.
The **[Event‑Driven Models]** had begun working long before the meeting. Their "data stomachs" greedily devoured all relevant information:
* Interest‑rate‑futures market implied probabilities of hike/cut.
* Forward‑looking reports from global major investment banks and research institutions, extracting view tendency and confidence via natural‑language processing.
* Quantitative analysis of financial‑media sentiment.
* Even historical average volatility and typical reaction patterns of gold prices around past FOMC meetings under similar macro backdrops—was it "buy the rumor, sell the fact" or vice versa?
Based on these massive data, the models built a quantified map of "market‑consensus expectation." This expectation wasn't merely a simple binary call of "hike 25 bps" or "hold," but a complex multi‑dimensional structure containing probability distributions, sentiment intensity, positioning layouts.
The models' core task was **market‑expectation management**. Before the event, based on historical statistics and current market structure, they calculated several most‑likely scenarios:
**In‑line**: Outcome highly consistent with mainstream market expectation.
2. **Mild deviation**: Outcome direction in line, but strength (e.g., hike magnitude) or wording details exceeded or fell short of expectation.
3. **Severe deviation**: Outcome completely unexpected (e.g., hike expected but hold, or vice versa).
For each scenario, the models preset corresponding asset‑price (here gold) reaction patterns, volatility‑amplification coefficients, possible duration. More importantly, the models assessed **how much expectation was already priced into current market levels**. If the market had already sold off sharply before the meeting due to strong hawkish expectation, then even if the outcome was indeed hawkish, as long as its "hawkishness" fell short of what the market had already digested, prices might instead rise because "bad news is out."
On the eve of the meeting, the gold market indeed fell into typical "pre‑event anxiety." Prices swung fiercely within narrow ranges, volume amplified, bulls and bears battled intensely, neither gaining decisive advantage. Mozi's **[Event‑Driven Models]** coolly monitored this; their internal risk‑assessment modules showed hawkish expectation was already quite thick—CME rate futures indicated a 92% probability of a 25‑bps hike, and most investment‑bank reports predicted Powell would maintain a tough stance against stubborn inflation.
Based on their complex algorithms, the models gave a probability distribution: **"In‑line with hawkish expectation"** 65%, **"Hawkishness less than expected"** 25%, **"Severe deviation (turn dovish)"** only 10%.
Yet the models simultaneously noted that under the "hawkishness less than expected" scenario, because the market had over‑discounted, gold had relatively large upward‑correction potential space; its risk‑reward ratio might be superior to other scenarios.
Mozi examined the models' output, mind racing. He agreed with the basic judgment. Market nerves were stretched too tight, like an over‑stretched rubber band. He made a crucial strategic decision: not to place directional bets before the event—that was like guessing a coin toss. Instead, adopt a more refined "options strategy" combination, buying some seemingly expensive out‑of‑the‑money call options that could deliver huge leverage if the market experienced "expectation deviation." This was essentially using limited cost to chase high returns in the 25%‑probability "hawkishness less than expected" scenario. This was precise calculation based on probability and odds, not blind gambling.
The moment the decision was announced, time in the trading room seemed to freeze.
The gold‑price curve on the screen first plunged violently downward—**hike 25 bps, in line with highest‑probability expectation!**
Many short‑term traders following market sentiment gasped or sighed in dismay.
But Mozi's gaze locked onto the magnitude of the price jump and subsequent micro‑structure. The selling force… didn't seem as fierce as expected? Sell‑side looked overwhelming, but buy‑side support below was exceptionally resilient.
Then Powell began speaking. The crucial "dot‑plot" showed that while future rate path still indicated hikes, the median projection for peak level hadn't shifted upward as the most hawkish market expectations had predicted. Powell's wording, while still emphasizing anti‑inflation resolve, also for the first time mentioned "need to be attentive to the cumulative effects of hiking" and "pace of future moves will be data‑dependent."
It was these subtle differences!
The **[Event‑Driven Models]** "expectation‑deviation" detector instantly lit up bright red! **"Hawkishness less than expected" scenario triggered!**
Almost while the market price was still falling on inertia from the initial hike decision, the models—based on real‑time semantic analysis and scans of market micro‑order‑flow—emitted strong buy signals. The out‑of‑the‑money call options Mozi had deployed earlier began soaring in value at staggering speed!
The market seemed to awaken instantly. The most hawkish moment might have passed! "Bad‑news‑is‑out" buying surged like a breached dam, flooding in. Gold not only quickly recovered all losses but rocketed straight up, soaring over 3% in just a dozen minutes!
Mozi's account equity, in the silent trading room, leapt upward at a jaw‑dropping pace. The option premiums paid earlier now returned hundreds‑ or thousands‑fold. He precisely caught the tiny crack between market expectation and reality, using financial‑derivative leverage to amplify this game's victory to the extreme.
Through the whole process, he hardly performed any manual operations; everything was executed automatically by the **[Event‑Driven Models]**, cool, swift, without a trace of emotion. When market euphoria reached a stage peak, the models—based on preset volatility‑regression and resistance‑level judgments—began automatically unwinding positions, converting huge floating profits into solid capital resting in the account.
When all settled, the gold price still oscillated at highs, but Mozi's main battle was over. A perfect blitzkrieg, a dimensionality‑reduction strike based on deep cognition and precise models.
The huge profit figure stirred little ripples in his heart. For him, this was merely another validation of his methodology, another victory of order over chaos. What he cared more about was the meaning this capital could carry beyond pure profit.
He pulled up another encrypted interface titled **"Technology Renaissance Fund."** This was a special fund he had set up using part of his personal capital, not pursuing short‑term financial returns. Its investment direction focused entirely on hard‑tech fields critical to national long‑term competitiveness but facing huge technological bottlenecks in the short term, difficult to attract traditional venture capital.
His fingers tapped the keyboard, quietly transferring a truly colossal profit just harvested from the gold game into this fund. Then he opened the fund's investment‑decision memorandum and began drafting a new investment proposal:
"Project: High‑end lithography technology R&D—ultra‑precision optical‑lens processing."
"Background: Current project encountering yield bottleneck in aspherical‑lens manufacturing; wavefront‑aberration control extremely difficult, needing to break traditional‑process limits…"
"Recommendation: Anonymous directed donation, supporting the team to introduce higher‑precision in‑line inspection equipment, hire top‑tier international process consultants, establish specialresearch incentive funds; not counting short‑term returns, aiming to help break core‑process barriers."
He didn't mention Xiuxiu's name, didn't reveal specific team information, but clearly indicated the capital's usage direction and strategic significance. This profit, originating from global capital‑market games, would become silent blood infused into that battlefield where people struggled hard to conquer nanometer‑scale precision.
Finishing this, he leaned back, looked out the window. Shanghai's night sky glowed dark‑red from city lights; no stars visible. Yet he seemed to see, in a distant other place, a laboratory where someone stayed sleepless through the night for the sake of perfect focus of a beam of light.
The game of capital was to establish order in chaos, to capture energy. And guiding this energy toward those hard‑tech fields capable of shaping a nation's future, illuminating civilization's light—that was the true foothold of his ideal "using capital to master capital." This gold victory wasn't just a major financial triumph; it was a symbolically crucial step putting his ideal into practice.
He knew Xiuxiu wouldn't know the source of these funds, perhaps never would. But he believed that when those precise inspection tools arrived, when key process problems were overcome because of more abundant resources, what he gained would far exceed cold profit numbers on screen. It was a deeper satisfaction—participating in creation, propelling progress.
The night deep, the capital world's ebb and flow never ceased. But at this moment, Mozi felt a silent, solid connection with that world challenging limits under optical microscopes. His code, his models, the capital he captured, finally began flowing—in a secret yet powerful way—toward that future he truly cared about and believed in. This gave his solitary career facing market waves a tinge of meaning beyond mere profit‑seeking—warm, lofty meaning.