TrueNorth AI

TrueNorth AI · Launch Video Breakdown: Hook, Pacing & Motion Design

Imagine a world where retail traders operate at the same efficiency as institutional desks where you don’t need 50 analysts to have the same edge Introducing TrueNorth, the world’s first agentic br…

Tech & SaaSLaunchJune 3, 2026@get_truenorth
0:00 · The Hook · Problem Statement & Brand Intro
0:00 / 0:00

Scene-by-scene timeline & spoken transcript

  1. The Hook

    Problem Statement & Brand Intro

    “(No spoken dialogue — Driving electronic beat with pizzicato synths and a riser at 0:00, followed by a sub-bass drop/impact at 0:01.)”

    On screen
    TrueNorth x Hyperliquid Every trade has a better version of itself
    Camera
    Static shot on a dark background, then a subtle zoom out as text appears.
    Motion
    Text reveals with a subtle fade-in and scale-up, followed by a quick cut to a UI element.
  2. Product Reveal

    AI-Powered Trading Interface

    “(No spoken dialogue — Energetic electronic beat continues with a riser at 0:05 and sub-bass drop/impact at 0:06, then again at 0:10 and 0:11, and 0:15 and 0:16.)”

    On screen
    Explore Your Next Trade Give me a setup for hype. Trade Strategies Market Scanner Macro Analysis Daily Research Give me a swing trade setup for BTC above $70K $BTC Momentum breakout strategy for NVDA earnings $NVDA Gold mean-reversion setup around $2,400 $GLD zihan @ 0xDC99...D3DA Share 24h Change -0.181 / -0.38% 24h Volume $492.63M Open Interest $1.1B Funding / Countdown +0.0013% / 00:32:37 Chat Trade Max band = $75M (long liq) Long liq: width_factor = 0.30 + 0.70 * sqrt(75/75) = 1.0 -> from.time = 1779379200 - round(1195920 * 1.0) = 1778183280 Short liq: width_factor = 0.30 + 0.70 * sqrt(57/75) = 0.30 + 0.70 * 0.872 = 0.910 -> from.time = 1779379200 - round(1195920 * 0.910) = 1778290560 Let me also group the long liq points: $47.01-$47.05 range (tight cluster) -> narrow rectangle: low=47.00, high=47.06 Short liq: $48.95-$49.00 -> narrow rectangle: low=48.94, high=49.01 Called 1 Tool Running tool Draw levels, liq zones, and position on HY... Mark $43,847 HYP-USDC 10x Isolated 3x Market Limit Buy / Long Sell / Short Available to Trade $12,450.33 Current Position 0.00 HYPE 1,245 USDC 10% Reduce only Take Profit / Stop Loss Buy / Long HYPE Liquidation Price N/A Order Value N/A Margin Required N/A Slippage Est: 0.05% / Max: 0.50% Fees 0.0450% / 0.0150% Trade Executed
    Camera
    Close-up on UI elements, panning and zooming to highlight interactive features and data visualizations.
    Motion
    UI element reveals, data visualization animations (candlestick chart updates, line drawing), cursor interaction, and button state changes. Smooth transitions between different panels.
  3. Feature Teaser

    Advanced Analytics & Self-Custody

    “(No spoken dialogue — Electronic beat continues with risers at 0:20 and 0:25, and sub-bass drops/impacts at 0:21 and 0:26.)”

    On screen
    Self-Custody How can I improve as a trader? James Wynn account: Past trades postmortem A brutal look at 351 trades, -$30.8M pnl, and the patterns that wrecked this account Date 2026-05-20 Horizon 12-month retrospective Asset Class Crypto (Hyperliquid) Benchmark ETH / BTC / HYPE Confidence High Executive summary Bearish on the account's risk management: 351 completed trades, 67.8% winrate, yet -$30.8M net pnl - the wins are tiny, the losses are catastrophic. Long-only bias is the first red flag: 339 of 351 trades were longs. You don't lose $30.8M going short - you lose it by refusing to fade. The 3-d hold time bucket tells the whole story: 45 trades, 26.7% winrate, -$58.9M pnl. Every swing trade that went past 3 days was a disaster. ETH is the account's kryptonite: 40 trades, -$22.9M pnl. The single biggest destroyer of capital. PUMP and XPL also contributed massive losses from small trade counts. HYPE was the most active market (144 trades) but still -$5.5M. The only profitable top market was BTC at +$674K - barely a rounding error on the losses. Situation A classic case of being right often but wrong big The James Wynn Hyperliquid account (0x020c...5872) completed 351 trades over the past 12 months, posting a 67.8% winrate - a number most retail traders would kill for. The Sharpe ratio, however, sits at -0.35, and the max drawdown hit 98.1%. That's not a trading account; that's a controlled demolition. The portfolio graph tells a tragic arc: from zero in May 2025, the account ramped to a peak of ~$45.6M by mid-September 2025. Then came the October collapse - a -$22M drawdown month that never recovered. By November 2025, the account was underwater and never surfaced again. The current position is a single 25x-levered ETH long of 3,900 ETH at $2,121.97 entry, with a liquidation price at $2,083 - just 2% below spot. Margin usage is 10%. This is a ticking time bomb. The best single day was August 25, 2025 (+$34.8M). The worst was June 21, 2025 (-$22M). But the real story is in the asymmetry: the account's edge-by-hold-time data shows that trades held under 1 hour had an 86.7% winrate but made almost no money (-$33K). Trades held 3+ days had a 26.7% winrate and lost -$58.9M. The account is excellent at scalping small winners and catastrophic at holding losers. Investment thesis Five patterns that explain -$30.8M in losses Long-only bias is a structural flaw 339 of 351 trades (96.6%) were longs. The 12 short trades had a 58.3% winrate and were actually profitable (+$410K). This account never learned to fade - it only knows how to buy dips, and when the dip keeps dipping, it doubles down. The 3-day curse: holding losers kills everything Trades held under 1 hour win 86.7% of the time. Trades held 1-6 hours win 75%. Trades held 3+ days win 26.7% and account for -$58.9M of the -$30.8M total loss. The pattern is unmistakable: winners get cut early, losers get bag- held into oblivion. The 1-3d bucket (+$9.6M) and 3d+ bucket (-$58.9M) together account for -$68.4M in losses - more than double the total account loss, meaning the short-duration trades were actually net positive. ETH is not your friend 40 ETH trades produced -$22.9M in losses. That's an average loss of -$572K per ETH trade. The current position - 3,900 ETH at 25x leverage with a liquidation price 2% below market - is a continuation of this self-destructive pattern. Position sizing is pathological The recent trade history shows size ranging from 26 BTC to 69,888 HYPE to 110M PUMP tokens. There's no consistent risk-per-trade framework. Some trades are sized for 0.5% account risk, others for 20%+. The HYPE trades alone show 5,000 to 78,000 token sizes within the same market.
    Camera
    Zoom into a text input field, then a rapid pan and zoom across a detailed analytical report.
    Motion
    Typing animation, content scrolling, and highlight animations on key data points within the report. Icon reveal with a subtle glow.
  4. Call to Action

    Personalized Trading Desk & Brand Reinforcement

    “(No spoken dialogue — Electronic beat continues with risers at 0:30, 0:35, 0:40 and sub-bass drops/impacts at 0:31, 0:36, 0:41.)”

    On screen
    Your personal trading desk TrueNorth x Hyperliquid
    Camera
    Rapid text reveals, followed by a final static shot of the brand logos.
    Motion
    Fast text wipe/reveal animations, leading to a final brand logo display with a subtle glow effect.

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