Making and losing $1m at 17.

Proof

I know, it sounds ridiculous. Luckily, because blockchain is defined by proofs (and because I wanted to document my progress), it's all publicly verifiable onchain. Here are some of the account's transactions. *It still feels very weird filtering for >$150k.

If you just want to know how

I've been trading all my life and it's mostly culminated in this. At 14, I was introduced to blockchain and cryptocurrencies. I wanted to trade but I didn't have capital, let alone an edge. Below I've written how I got both. I think the most notable part of this is that I never traded any of those worthless tokens, I exclusively traded Solana. This would be like only trading the SP 500 and not trading any individual stock.

This isn't specific to me, but I think being contrarian helps a lot while trading. In micro, setting stop losses at less obvious price levels helps significantly in avoiding liquidation. In macro, I've found narratives online are almost always wrong; I've actually had the most success when I traded recreationally, unaware of public sentiment and paying no mind to influencers.

In essence, I tried to identify long-term(ish) price movement (e.g. 3 months), patiently and precisely bidding when prices retraced. According to both Claude and ChatGPT, my main strength was in squeezing out profit, but I think this was really intuitive. I dabbled in scalping but I found it ineffective given the time and energy. I also found exceptions in waiting for retraces, especially early in the cycle, where stepping on the gas was immensely profitable. All in all, there were tons of inefficiencies, most obviously losing 6 figures on Jupiter's fees, but also generally when I deviated from principle.

Origin

I've been trading in some form all my life. I've traded physical ddakji, virtual Pokemon, and tons of other MMORPG-related resources. The last game I seriously played was Albion. I enjoyed the competitive PvP part of it, but the game's main mechanic was death. You'd lose everything in your inventory after dying, kinda like hardcore Minecraft. To play competitively, you had to be rich.

I learned a lot about arbitrage by playing, and the same mechanics showed up later in crypto, though it was way more intuitive in Albion. I had refiners delivering me raw materials that I'd craft and send off to transporters. One of these refiners actually introduced me to crypto, leaving our monopoly of fire staves to play a crypto trading card game on Immutable. I obviously wanted in.

I've always been an F2P player, and as a 14 year old, I didn't really have any capital to start trading with. I dug around and found a community offering 1 SOL (around $100 at the time) in a meme-making competition. I won essentially by actively chatting with the moderators of the competition. I really benefited from this humanity in crypto, and I'm grateful I had the opportunity to start any of this.

I would spend the next few months of Year 10 (grade 9) turning my humble $100 portfolio into over $20K trading NFTs on Solana. This involved grinding whitelists, sniping new mints, and general flipping. I think a lot of the community at this time came from sneaker botting, and this was essentially the meta at the time, from this I actually learned about RPCs and the importance of performant infrastructure like Helius. I faced tribulation every other day and maintained killer schedules. I probably had the worst possible timezone to do all this, regularly waking up at 2-3 AM to catch drops. After a few months of this sanding down of my dopamine receptors, I realized I wanted more.

Much like in Albion I was no longer content with what was essentially labor. So, I learned to program. Many thanks to Josh C. for answering all of my many question. I also really appreciate Carlos N. for introducing me to Mert at Helius. I don't think I could've found a better place to grow at this time. I ended up writing a guide that went viral about Helius and thus landed the internship. It helped that I didn't need or care about the money, and it almost felt like being paid $500 a month to learn about developer infrastructure.

I believe all these things contributed significantly to how I eventually made the million, and also how I lost it. Because I was deeply ingrained in the Solana community, I was sure Solana would thrive in a bull market. I also felt that learning to program lessened the impact of my portfolio's value on my self-worth, which perhaps made me more tolerant of risk. I thought (and maybe think) of money as no more than a number. I didn't really spend any of it. I simply found joy in winning trades and did it for fun.

$1,000,000

Fast forward to the summer before grade 11, I'd concluded my gig at Helius and started anew at RevisionDojo. Crypto had a resurgence, and I started trading again. The resurgence stemmed from airdrops. I'd actually received an airdrop ($BONK) a year before that would eventually be worth >$1m, but I sold it for $600, so I guess this was my second time losing $1m. I didn't really benefit directly from these airdrops, but I did benefit a lot from the increase in ecosystem liquidity.

As mentioned, I would only trade Solana. It was the only thing I actually believed in to any extent in that realm. Trading felt pretty easy. I pretty casually grew ~$30k to $50k in a few days, then $50k to around $100k over the span of a few weeks.

This was around the time I created the wallet linked at the start of this post. I worked at Helius under the name Tidelaw, but I knew I wanted to own this journey regardless of its outcome, hence the vanity address.

Towards the end of this, I had tapped out the liquidity (around $2.5m) on leverage of the exchange I used, and I'd started resorting to opening multiple positions using different wallets. In hindsight, this would've been a good place to simmer. At the peak, I was making over $100k in profit on each trade, while rarely losing.

It's easy to prop up this part of the journey, but in reality, I was on a constant tightrope. I very rarely got liquidated because I almost always doubled down. Aside from the obvious risk, this meant I would spend tons in fees, often paying to keep on losing. This worked, largely thanks to the asymmetry of the bets and market conditions at this specific time.

I knew I couldn't really predict price action to a reasonable degree of accuracy, so I didn't try. I stuck to one direction (upwards) and waited patiently.

Did I get lucky? Maybe, at times. Obviously, though, there are many more people with starting conditions far more favorable that have never done as well. I think the most notable thing other than the scale is the nature of the trades (i.e., being ethical). The stigma behind crypto is unfortunate but true, and I personally haven't heard of anyone else trading from essentially nothing to over $1m without shoddy dealings, at least in my age range.

So, what'd I do with all this money? Well, until the end of 2024, I didn't do anything. I wasn't sure about the tax implications and figured saving wasn't so bad.

Eventually, I bought an iPad, a backpack, and three graphic tees. All in all, I spent less than 3/1000 or 0.3% of what I'd made.

Then, it all went away. It started as one bad trade. I really didn't think I was wrong, so I doubled down on it. I didn't just double down, though; I quadrupled down on four wallets and lost spectacularly. Ok, so I was down to around $400k. I had a deadline coming up, and I simply had to make back $100k.

Only, I'd never cared about the timing or the money before. As my portfolio kept shrinking, I cared less and less about just how much I was losing. The silver lining, I guess, was detangling my self-worth from this number.

Abstract

Between December 2023 and July 2025, the four wallets listed below executed 216 fills on Jupiter Perps, exclusively in SOL-PERP, exclusively long except one short. Total traded volume was $154.5M against incremental collateral deposits typically in the hundreds to low thousands of dollars per fill. The account generated $640,335 in gross realized trading profit, paid $523,977 of it back to the venue in fees, and withdrew a lifetime net of $116,358. Those three numbers reconcile to the dollar. The peak equity of roughly $1M existed for approximately three weeks in November 2024 and was never withdrawn.

What the record shows

The activity has three phases. A small, exploratory phase (Dec 2023 – Oct 2024): $12.1M volume, five-figure position sizes, fees under $16k total. A four-week run (November 2024): $105.6M volume, +$1,285,665 realized, 80% win rate across 30 closes, four individual closes above +$100k, and identical ~$2.49M positions mirrored across wallets to circumvent the venue's per-position leverage ceiling; the two largest closes landed eleven seconds apart. A two-week unwind (Dec 2 – 14, 2024): −$647,304 realized plus $185,783 in fees, seven of the record's 17 liquidations.

The strategy, as revealed by its loss distribution

The stated method (long-only SOL, buy retraces, add to losers rather than stop out) is visible in the shape of the data rather than needing to be taken on faith. The win rate is a modest 57%, but the median win ($14,670) is three times the median loss ($4,711): winners were held into strength. The tell is where the real losses sit. Ordinary closes almost never lost big; 90% of gross losses occurred in liquidation events. This is the signature of a doubling-down system: losses are not taken, they are deferred, and they arrive all at once when the venue forces the issue. Seventeen forced exits in 216 fills is the price of "rarely losing."

The system's dependence on regime is equally legible. It required two conditions at once: persistent upward drift (so deferred losses eventually rescued themselves) and deep volatility (so retraces existed to buy). Q4 2024 SOL supplied both. The method did not fail because it changed; the market did.

December 2, 03:30 UTC

Four maximum-size positions were liquidated inside twenty minutes as SOL slid two dollars. Eleven minutes after the fourth, both main wallets reopened at full size, at higher prices than the next day's liquidations. The remainder of December repeats the pattern at shrinking scale: a $1.39M liquidation on Dec 9, $202k on Dec 14. In behavioral terms this is a tilt cascade; the trader's own account attributes it to an external deadline that, for the first time, made the portfolio's number load-bearing. The data is consistent with that account: nothing in the prior eleven months resembles it.

Fee economics

Fees consumed 82 cents of every dollar of gross trading profit. At $523,977 on $154.5M of volume, the blended cost was ~34bps per fill; doubling down multiplied fills, so the strategy's core behavior and its cost center were the same behavior. Ninety-seven percent of lifetime fees were paid in November and December 2024.

This is also the sober answer to "why not just do it again": the fee line is a constant, the regime is not. In a low-volatility, non-trending market the same behavior pays the same 34bps against nothing.

Assessment

What the record supports: the asymmetric win profile, the 80% November hit rate at maximum size, and eleven months of profitable, escalating execution constitute genuine skill in trade selection and profit-taking within one regime. The single-asset discipline (no memecoins, ever, verifiable) is real and was likely protective.

What the record does not support: any claim of risk management. Position sizing was governed by the venue's ceiling rather than by the account; the loss-control mechanism was the liquidation engine itself. The strategy's expected value depended on a regime assumption that was never hedged, and the terminal drawdown was not an accident of the system but its designed failure mode, triggered on the first occasion emotional stakes entered.

Net of everything, the venue's ledger says the trader left with $116,358 more than he deposited. The million was real, briefly, as equity; what was banked was a six-figure tuition, paid mostly to the fee schedule, for a lesson the subject's own essay states more plainly than this report can.

Verification kit

Everything above is reproducible from the raw exports:

• trades_hagi22V.csv - trades_tideV5A.csv - trades_CsfJrbN.csv - trades_T1d3crw.csv (the four Jupiter Perps exports, unmodified)
• summary.json (machine-readable: all figures above, keyed, with the reconciliation identity)
• Wallets on Solscan: hagi22V3pQtGDbciyyEeAfK5NQhUbKDEN8EHfSg25TT, tideV5AZXGmMmp3iA7Kc5196yz9EmHH2AXaAdrNnGNE, CsfJrbNvMJAcrupom39fAGnsV9dg4nAVDTNU8HHn5Bw, T1d3crwf5cYLcVU5ojNRgJbJUXJta2uBgbtev2xWLAW
• Method: sum Trade fee + Liquidation fee for fees; Profit / Loss for realized PnL; Deposit / Withdraw for flows. Reconciliation identity: ΣPnL − Σfees = Σnet withdrawals ($640,335 − $523,977 = $116,358).
• Known limits: exports exclude borrow fees embedded in Jupiter's PnL display toggle, off-venue activity, and two minor wallets the subject reports separately funding and losing (not included anywhere above). Peak equity (~$1M) and starting capital (~$30k) are self-reported, supported by the November PnL figure and contemporaneous screenshots in the story version.

import pandas as pd, glob
d = pd.concat(pd.read_csv(f) for f in glob.glob('trades_*.csv'))
d.columns = [c.strip() for c in d.columns]
fees = d['Trade fee ($)'].sum() + d['Liquidation fee ($)'].sum()
pnl  = d['Profit / Loss ($)'].sum()
flow = d['Deposit / Withdraw ($)'].sum()
assert round(pnl - fees) == round(flow)   # 640,335 − 523,977 = 116,358

Ten lines to BS-check the whole page.