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.
If you could go back to your first day of trading, what would you tell yourself?\n\nMy answer: \n\n"First, learn position management, then dive into technical analysis."\n\nMost folks have it the other way around—starting with candlesticks, indicators, and patterns,\nonly to find they can read the direction but still end up losing money.\n\nThe reason is: they haven't nailed down risk management.\n\nEven if you only have a 60% win rate, paired with a 2R risk-reward ratio,\nyou'll still come out with positive expected value in the long run.\n\nWhat's your answer?\n\n#交易心法 #交易心理 #crypto\n$BTC $XAUT $HYPE
When I was building my first quant system, I stumbled into three major pitfalls.
Pitfall One: Overfitting Backtests looked insane, but once I hit the live market, it all tanked. Reason: The parameters were way too tailored to historical data.
Pitfall Two: Ignoring Fees Backtests showed a profit of $50 per trade, but after fees in reality, I was left with only $15. That cut my profits by a whopping 70%.
Pitfall Three: No Stop-Loss Logic "Quant systems don’t just make random trades." Until one time when the market dipped and wiped out 20%, I realized quant can still blow up.
The SYS series was developed only after navigating through these three pitfalls. No pain, no gain in building a solid system.
Volume is the key focus today. If the price pumps but volume doesn't follow—it's a fakeout, don't chase. Let the volume come in first, then we’ll decide the direction.
Today's strategy: Wait for volume confirmation → Then decide the direction. No volume → Stay on the sidelines, cash is also a position.
If you could go back to your first day of trading, what would you want to tell yourself?
My answer:
"First learn position sizing, then learn technical analysis."
Most people get it backwards—first they learn candlesticks, indicators, and patterns, only to find they can read the trend but still end up in the red.
The reason is: they didn't get risk management down.
Even if you only have a 60% win rate, paired with a 2R risk-reward ratio, you'll still be in the green in the long run.
After five years of trading, the biggest lesson I've learned is this:
It's not about being wrong on direction. It's not about picking the wrong coin.
It's about trading based on emotions when I didn’t have a system.
When the market was bullish: I was fully loaded, feeling like a genius. When the market turned bearish: I was flipping my positions constantly, stopping out and then reversing, getting hit from both sides.
During that time, I went through my trading records — When I was in the green, I always had a reason, and when I was in the red, I also had my reasons.
The issue isn’t whether the reasons are right or wrong, it's that I lacked a solid framework to keep myself in check.
Eventually, I forced myself to systematize — No matter how strong the feeling, I wouldn’t make a move without a signal.
It was painful for a while, but the results stabilized.
The difference between having a system and not having one, five years later, isn't in profits, but in mindset.
When I built my first quant system, I fell into three traps.
Trap 1: Overfitting Backtesting looked ridiculously good, but once I hit the live market, it crashed. Reason: I fine-tuned the parameters way too much to historical data.
Trap 2: Ignoring Fees Backtest showed a profit of 50 bucks per trade, but after fees in the live market, I was left with only 15 bucks. That slashed my profits by 70%.
Trap 3: No Stop-Loss Logic "Quant systems don’t make random trades." Until one time when the market took a dive and wiped out 20%, I realized quant systems can still get wrecked.
The SYS series was developed only after stepping on these three traps. No traps, no system.
Just entered the scene: itching to double my stack every day. After a year: starting to learn to wait for the signals. After three years: finally realizing that "not trading" is a skill in itself.
The market isn’t going anywhere; there are opportunities every week. But your capital, mismanaged once, could be gone in a flash.
Don’t ride the "fast" tempo; implement a "slow" strategy. Don’t play the guessing game; focus on waiting for the right trades.
Take it slow, play it safe, and you’ll go the distance.
Every day I had to churn out content that looked 'professional', to be honest—sometimes the direction just wasn't that clear, but the platform needed you to provide a 'definitive stance'.
After a while, you can't tell if you're analyzing or just performing an analysis.
Eventually, I stepped back and returned to independent trading.
At first, my earnings took a hit, but I could actually sleep at night.
Now, every post I share in the community is a real observation and trading log, I show both my wins and losses.
Not many people do it this way, but I believe it’s the right approach.