Build logs & deep-dives
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Trading post-mortems, AI automation write-ups, and infrastructure build logs from Gordon Technology — what worked and what didn't.
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Are calm or wild coins easier for a model to predict?
'low-vol' leads on mean_auc: +0.509
I Funded a Solana Memecoin Sniper Bot. It Went 4 and 82.
I funded a Solana memecoin sniper with real SOL and let an XGBoost model pick every trade. 86 trades, 4 wins, 82 losses. The honest autopsy: execution was fine — there's just no edge at entry. Real numbers, including the one trade that actually worked.
A 0.70-AUC Crypto Model That Lost Money on Every Coin (AUC Is Not P&L)
I trained per-coin XGBoost models on 5-minute crypto bars. They hit ~0.70 out-of-sample AUC across 16 coins, walk-forward validated — genuinely predictive. Then I traded the signal and every single config lost money. Why a 'good' ML model isn't a profitable one: AUC measures direction, not magnitude.
Should a crypto grid bot re-anchor upward with price?
'trail3' wins: total_pnl +5542 vs 'static' +1858 (+3684, +198%)
Which crypto coins can a simple ML model actually predict?
'ARB' leads on auc: +0.532
Does crypto direction get more predictable at longer horizons?
'15m' leads on mean_auc: +0.526
Build Notes: A Week of Local-First Smart-Home Research
A research-driven recap of last week — what we tested, what we learned, and the gotchas that changed our plans while designing a fully local, no-cloud smart home around Home Assistant.
The Solana Bug That Failed 74% of My Sniper's Buys (and Lied About Why)
If your Solana transactions fail with Token-2022 "Invalid Mint" (0x2) or "simulation failed" on brand-new accounts, it's probably your preflightCommitment. The RPC default (finalized) lags the tip ~13-30s, so it can't see a seconds-old mint. The smoking gun, the cause, and the one-line fix.
YouTube Shut Down Our Channel. We Adapt and Overcome.
YouTube removed our channel under its scams policy and denied our appeal. Here's our honest take — what we do, what we don't, and how we're adapting and moving forward.
Front-Loading a Crypto Grid Bot: More Wins, Less Money
I tried to beat my bot's uniform 3% grid by front-loading the rungs to catch more dips. The aggressive versions hit an 81% win rate — and earned about a third less money. A backtest post-mortem on why win rate is a vanity metric for grid bots.
Optimization: Scaling Your Bot Profitably
Scale from 1% to 5%+ position sizing, add multiple strategies, and optimize for consistent 6-10% monthly gains.
Backtesting Crypto Grid Bots: The 3% Step That Worked (And What the Backtest Couldn't See)
I backtested grid bots before risking real money — a 3% grid step was profitable across every coin and period tested. Then live trading revealed the one thing the backtest underweighted: regime. Here's both halves, honestly.
I Built a Solana Sniper Bot in Python — Here's the Real P&L (Losses Included)
A fully automated pump.fun sniper bot in Python, funded with real SOL and run live. The architecture, the bug that killed 74% of buys, and the honest result — including why a 0.78-AUC model still didn't make money.
Build Log — June 10, 2026
Today's trading bots saw mixed results, with the Alpaca Crypto Grid bot finishing roughly flat after a day of active trading. The Kraken Grid + Swing bot, on the other hand, sat out entirely and also ended up roughly fla
Introducing Gordon Tech: Building AI-Driven Systems
Introducing Gordon Tech: Where we build trading bots, price monitoring, AI coaching, and ML models.
Getting Started with Trading Bots
In this guide, we explore how to build your first automated trading bot using Python...
How to Build Trading Bots
In this guide, we'll cover the basics of algorithmic trading...