After months of work, I’ve leveraged AI to craft 3 BTC futures quant signals, and today they’re officially open for subscription.
Each strategy has its own role: · SYS03 EMA Triple Pulse — Tracks mid-term trend waves, with 54 trades over the past year, profit factor of 1.46 · SYS05 Volatility Energy Breakout — Bollinger Bands + Keltner Double Compression, capturing energy explosions, profit factor of 1.49 · SYS06 RSI Divergence Reversal — Only 15 trades in the past year, win rate of 66.67%, profit factor of 3.57, with a max drawdown of just 0.25%
All backtested on TradingView, so you can replicate the numbers yourself, no need to take my word for it.
Each signal includes: ✓ Real-time annotations for entry direction + SL / TP levels ✓ TradingView alerts pushed directly, getting notified of entry price / stop-loss / take-profit without having to watch the charts ✓ Backtest version for historical performance verification
Background: Former KOL team & CEX researcher, now independently developing trading systems.
If you're interested, DM me on X (Twitter) to learn about the subscription options, spots are limited, first come, first served.
After trading for so long, I want to ask you a question.
Right now, on your trading journey, what is the biggest obstacle?
A. I can’t understand technical analysis B. I understand it, but I can’t control myself C. There’s no consistent plan for position sizing D. Once my mindset takes a hit, everything falls apart
Leave a comment and tell me—I’ll definitely see it.
Not trying to sell a course. I’m just genuinely curious, and I also want to see where everyone gets stuck.
Tell the trading mistake that left the deepest impression on me.
That was when I was just starting to build quantitative trading systems.
The system generated a short signal. I glanced at it and thought, "The direction isn’t right," so I didn’t execute.
If I had taken that trade, the profit factor would have been 4R.
Even worse, later on, I "made my own call" and went long—and I got stopped out.
That day taught me something: I designed the system because I didn’t trust my intuition. If I don’t trust the system, then what’s the point of having one?
From that day on, I no longer "overrode" the system signals.
When building the first quant trading system, I stepped into three pitfalls.
Pitfall 1: Overfitting The backtest looked ridiculously good, but the moment I went live, it fell apart. Reason: I tuned the parameters too closely to historical data.
Pitfall 2: Ignoring trading fees In the backtest, I made 50 bucks per trade—but after fees in live trading, I was left with only 15 bucks. That cut my returns by 70% straight away.
Pitfall 3: No stop-loss logic “Quant systems won’t place stupid trades.” Until one time the market swung and wiped out 20%, I realized quant can still blow up.
The SYS series was built slowly only after I’d already fallen into these three traps. Without the pitfalls, there would be no system.
Volume is the most important key today. Price is rising, but volume isn't keeping up—that's a fake breakout, so don't chase. Let volume come out first, then decide the direction.
Today's strategy: Wait for volume to confirm → then decide the direction No volume → stay sidelined; cash is also a position
After trading for so long, I want to ask you one question.
Right now, on your trading journey, what’s the biggest obstacle?
A. I can’t understand technical analysis B. I understand it, but I can’t control my hands C. Position management has no rules D. Once my mindset takes a hit, it all falls apart
Leave a comment and tell me—I’ll definitely come back to it when I see it.
Not trying to sell a course. Just genuinely curious, and I also want to see where everyone gets stuck.
Someone said: “I’m always getting liquidated, or on the way to getting liquidated. I just want to learn from you.”
Those words made me think for a long time.
Because I’ve walked that road too. I know that feeling—reset to zero again and again, and again tell yourself, “Next time for sure.”
But what he said—“I’m not that greedy; I just want to learn”— In a market full of leverage fantasies, the kind of person who can say that has already won half the battle in mindset.
The people who can truly survive in the market, are never the smartest or the most daring gamblers.
It’s the ones who stay low-key and are willing to admit when they’re wrong.
If you’re also on the road, leave a comment and tell me which stage you’re stuck at.
Many people ask me: Quant trading or manual trading, which is better?
My answer: It depends on who you are.
If you can do the following: ✓ Strictly follow stop-losses ✓ Not let emotions affect your decisions ✓ Maintain discipline long-term
→ Manual trading can also be done well.
But if you find that you: ✗ Often “wait a bit” before taking your stop-loss ✗ Add to positions when you win, and try to win it back when you lose ✗ Chase after others’ profits
→ You need a system to help keep yourself in check.
Quant trading isn’t smarter—it’s more disciplined.
Volume is the most important key today. Price is rising but volume isn’t keeping up—that’s a false breakout, don’t chase. Let volume come first, then decide the direction.
Today’s strategy: Wait for volume to confirm → then decide the direction If there’s no volume → wait on the sidelines; cash is also a position
Several Key Levels Worth Watching for BTC Today 08/06
Current price: $64,604
Resistance levels: in the upper 1–2% range (with previously dense trading) Support levels: around 1.5% below (uptrend line)
Volume interpretation: If price breaks above resistance with increased volume → direction is confirmed; you can follow If price rises on decreasing volume → wait for a pullback and then reassess
Even days without trading are also a trading decision.
After trading for so long, I want to ask you a question.
Right now, on your trading journey, what’s the biggest obstacle?
A. I can’t understand technical analysis B. I understand it, but I can’t control my hands C. Position management has no rules D. One bad mindset and I fall apart
Leave a comment and tell me—I’ll definitely check it out and respond.
Not trying to sell a course; I’m just genuinely curious, and I also want to see where everyone gets stuck.
He traded for three years and kept losing. Not because his technique was bad—he could analyze everything perfectly. It was because every time he got it right, he couldn’t bear to take profit. Every time he got it wrong, he couldn’t bear to cut the loss.
So what was the final result? When he was right, he made a little; when he was wrong, he lost a lot.
His expectancy was negative.
Later, he started using a fixed 1.5R take-profit and 0.5R stop-loss mechanism— no matter how he felt, no matter “this time might be different.”
By the third month, the account finally turned positive.
Not because his analysis became more accurate, but because his expectancy finally became positive.
Not because I chose the wrong direction, but because I used leverage—and I didn’t set a stop-loss.
At the time, my logic was: “I analyzed it very clearly. It’s definitely going to bounce back.”
But it just didn’t.
That one loss cost me two years’ worth of savings.
Someone asked me how I faced my family back then. I said: I didn’t tell them.
I carried it on my own for three months. Those three months, I couldn’t sleep at all every night. My mind was filled with: how do I earn the money back?
Later, I didn’t rush to make it back. Instead, I spent half a year rebuilding the system. And the result was that I became more stable.
Liquidation isn’t the end—it’s a way of forcing you to learn.
Why do I trust quantitative systems rather than “feelings”?
Because feelings can deceive you, but data won’t.
Looking back at my past five years of trading records: · Two years of trading based on feelings: huge account fluctuations, and my mood was too · Three years after becoming systematic: much more stable—even when I lost money, it was within expectations
Quant is not perfect, but it accomplishes one very important thing: It prevents “emotions” from interfering with decision-making.
When a signal comes, act. When no signal comes, wait. That’s it.