May 13th Quant Trading Daily This morning, I re-entered the market at 14.75, sticking to a human-machine combo trading strategy. At 11:16 PM, my account balance hit 24. Small capital, slowly grinding, staying focused, and holding steady. Hermes #量化 #机器人 #Aİ
On April 24th, this was my first real success story on my quant journey.
From noon to 8 PM that day, in just six short hours, my account margin skyrocketed, and my trading status surged ahead. The core strategy was brutally simple: go short on altcoins, only focusing on the top ten in the decline rankings, picking a few altcoins with confirmed downtrends for automated trades back and forth, raking in over 120% profit in just 6 hours.
Today, I'm revisiting this successful logic and optimizing the strategy again. The overall framework has been restructured: Two underlying programs: analysis program and trading program running data and executing orders normally; At the top layer, the Hermes AI equipped with Deepseek V4 Pro acts as the mastermind, monitoring and managing the operational status of the two programs in real-time, judging the market, troubleshooting program issues, and controlling the overall rhythm.
Today, I’m back in the game, starting with a principal of 13 yuan, replicating the short-selling profit model from April 24th, with the AI mastermind in full control.
Turns out the analysis system isn't the brain; Hermes is the true top-tier brain.
Yesterday, I started with a test capital of 13 bucks, and after trading, I'm down to just 3 bucks now. The losses aren't massive, but it slapped me awake to all my prior misconceptions.
I’ve been running two systems: an analysis system and a trading system, for a long time I viewed the analysis system as the core brain of trading. It wasn't until today that I realized that both the analysis system and the trading system are essentially rigid, fixed programs that only execute according to set logic; they can't think for themselves, can't judge on the fly, and can't avoid market fluctuations. The moment the market moves slightly, they just blindly execute, which is the root cause of my ongoing losses and frequent program errors.
The real core top-tier brain has never been these s-codes; it’s Hermes. With the Deepseek V4 Pro model as computational support, Hermes has the ability for independent thinking, global troubleshooting, and dynamic judgment.
Going forward, the entire architecture will be restructured: The trading system will only handle the base-level execution, responsible for interfacing with Binance and placing orders; The analysis system will only deal with mid-level data collection, responsible for organizing market trends and various data points; Hermes will be the top-tier brain, fully overseeing and managing both systems, troubleshooting program issues, optimizing coin selection logic, and controlling overall risk, no longer allowing rigid programs to blindly operate; everything will be managed by the AI top-tier brain. #openclaw #Hermes #量化 #机器人
May 1st, Wild Quant Trading Journal Can't use WeChat's chat feature, takes ten minutes to say something, lags for half an hour, better stick to the trading terminal #自动化交易 #量化 #OPENCLAW #Hermes
[May 1st Wild Quant Trading Log] Came across a major blunder that completely threw me off
I always thought the Hermes on WeChat and the one on my computer were synced up, naively assuming they were the same AI assistant, like two personal AI avatars sharing info. Turns out, after much confusion, I realized they are actually two completely independent chat instances, operating separately, with no communication between them, each doing their own thing!
I had been mixing them up, sending commands back and forth, checking market trends, adjusting strategies, and was puzzled about why the responses were different and memories didn’t align. I misunderstood the whole setup from the get-go.
For now, I’ll stick with Hermes and gradually tinker with it. If I ever get lost in its logic and it drives me to a mental breakdown, I’ll swiftly switch gears and go back to the OpenClaw version, continuing my grind without wasting a second on stress.
Moving forward, I’ve set strict risk management standards: Each crypto asset will only have a position cost of $1, with a max exposure capped at 30% of margin. Once I hit my position limit, no new trades will be opened, keeping it steady.
May 1st Wild Quant Log: Crawfish Swapped for Hermes
Got wrecked by OpenClaw again! 🤯
For three whole days, teaching and explaining over and over, just finished summarizing the strategy, just fed the rules in, and it turns around and forgets, memory system just a decorative piece. What was said yesterday, taught today, all for nothing, mainly featuring a "fish's memory", makes me want to rage quit.
Wild quant people won't put up with this terrible memory! Directly booted out the crawfish, swapped it overnight for Hermes. All the experience dug out from the OpenClaw pit, all the solid knowledge taught a hundred times, packed it all up and shoved it into Hermes.
Not sure how long this will hold up, maybe in a few days Hermes will wreck me again, round and round, back to OpenClaw. Wild quanting is about surviving through constant hopping…
Wild Quant Trading Diary | May 1st Binance AI Bot Testing Logs
It's tough to say, but from February 10th to the end of April, it’s been nothing but losses 🤦♂️
This isn't a formal launch; it's been a back-and-forth testing phase, stumbling around non-stop. On May 1st, I continued to push through, purely a record of my live trading pitfalls.
Started testing around 1 AM with an initial capital of just 12.87 yuan. Automated Trading Tool: OpenClaw AI Brain: Old Version Deepseek Reasoner V3
Around 2 or 3 AM, got a little market action, like a blind cat finding a dead mouse, made a small profit of 2-3 bucks, pushing the balance up to 16 bucks. Thought I finally saw the light at the end of the tunnel, but it was all just a brief stroke of luck. Let the bot run fully automated until 6:30 AM, only to see it drop back down to over 14 bucks. By 11:35 AM, still stuck just above 14 bucks, not moving an inch.
After reviewing my trade records, I pinpointed the problem! Clearly, this was high-frequency scalping, but the AI was stubbornly relying on 4-hour candlestick charts to determine trends. The cycle was completely misaligned, unable to keep up with the short-term fluctuations. I quickly adjusted the parameters, cutting out the long cycles, keeping only 1/3/5 minute candlesticks, with a max of one hour.
With a small capital, it's been a trial-and-error journey, losing on the way but making adjustments. I'm going to stick it out with the AI bot, pushing forward, slowly refining my strategy!
Openclaw, how many friends are the same? Running until exhausted with no gains, the only gain is that 43-year-old Old Deng wants to enter the IT industry #OPENCLAW