new HTF system results
new HTF system is designed to double as both an buy/sell engine & screener.
ps: its not released yet. no eta for now. will send a note when it is ready.
expect regular updates using this new system. we are on the cusp of major turning points across multiple asset classes, and i want the data public.
why this, and why now?
1. ai has killed the short-term edge.
intraday scalps and news-driven trading are already dominated by institutional algos. as ai scales, those ltf games simply won't be worth playing.
on the retail side, anyone remotely interested in trading has already typed some variation of this prompt:
"build me a high-winrate, high-sharpe trading system. make no mistake"
while 99% of these 'vibe-coded' retail bots are useless, the sheer volume of market participants trying to force agentic ai to trade for them will erode whatever short-term edge remains.
going forward, the biggest asymmetric edge for retail is in HTF positional trades.
2. the noise has 100x'd.
while the ltf edge goes down, the cognitive load goes up. the attention economy has created a cycle of perpetual fomo on steroids, leading to analysis paralysis.
take semis and memory stocks. they are up 10x to 50x. in hindsight, the chart looks obvious. but in real-time, there was never a moment during that run without legitimate, highly nuanced arguments that "it's over."
without a definitive, emotionless system to guide you, you are just guessing.
3. ideas are a commodity.
finding trade ideas has never been easier. everyone is sharing what to buy. what they won't (and realistically can't) share is exactly when to enter and exit.
the influence of trading accounts has scaled exponentially. a single tweet move billion $ mcap companies. we've seen in crypto now in ai stocks too.
when something 50% on a tweet, how do you play it? some roundtrip to zero. some run for months. you cannot navigate that without your own trigger.
the reality of pnl.
combine all the above with what has always worked.
look at your own trade history, or anyone you know who has printed massive pnl. it didn't come from a 15-minute chart. it came from positional trades held for an extended period.
in all my years of trading, if there is one thing that dictates wealth creation, it is being in the right regime.
you can spend all your time perfecting ltf entries, optimizing profit-taking, and tweaking oscillators. it is a rounding error compared to simply being aligned with the macro trend.
even if you had mediocre execution but stayed long ai stocks last year, you won. if you were an elite ltf trader but made tiny mistakes in crypto, you got punched in the face.
if you get the big picture right even poor execution can be forgiving.
the tax (what you give up): to get this level of macro safety, you pay a tax. you will never buy the absolute bottom, and you will never sell the absolute top.
the smoothing math is designed to intentionally sacrifice the first 10% and the last 10% of a move to capture the fat 80% in the middle. if you want to catch exact daily wicks, this is not for you.
the solution: web3quant adaptive candles.
these candles are derived from price, volume, and other core data points, optimized exclusively for positional trades.
the system logic is baked underneath; the output is entirely visual. one look at the candle gives you the exact read on the market. it instantly tells you if the trend is bullish or bearish, if momentum is accelerating or dying, and maps the exact support/resistance zones.
the core thesis: a single system that adapts seamlessly across crypto, equities, and commodities to capture the mega-moves.
how to read the charts:
- the grey line with dots: this is the actual raw price of the asset (the noise).
- the block candles: this is the web3quant adaptive candles (the signal).
to not make this post very long, i am skipping the long faqs today. those will follow later. you can email the support team with questions.
the results.
ps: i am still making a few tweaks before release.
chart 1 shows the raw price line draped over the adaptive candles so you can see the system neutralizing the noise in real-time. the remaining examples show just the candles to highlight how cleanly the system navigates different macro regimes.
because htf signals don't flip-flop often, you can run these on a separate window as your macro compass, while executing on your preferred ltf setup.
see you in the next one.