FriendTech DAO ❤️ Memecoin

First true FriendTech DAO

[0xRicker @0xRicker]

Ex-Citibank quant trader built Polymarket bot and turned $1,708 → $83,864 in 60 days using one secret

I traced his 30,280 trades using Claude → backtested his strategy on 78M trades dataset

the secret is running two engines simultaneously. one hunts deep discounts, one fades the crowd on high-conviction windows.

engine 1 - deep discount
finds contracts priced below 10¢ on BTC, ETH, SOL, XRP windows. market says less than 10% chance. model says closer to 50%. enters small, $8-$100 per trade

engine 2 - high conviction fade
finds windows where crowd is slightly overpriced on the wrong side. enters with $1,000-$1,200 per trade at 50-57¢

engine 1 finds the outliers. engine 2 grinds consistent returns

Profile: https://t.co/7ieyYGDjka

[0xMorty @0xMortyx]

THIS COMPLETELY CHANGES THE GAME

a ready-made Claude Code playbook straight from its creator

if I'd seen this six months ago, I'd be shipping way faster by now

in the hands of someone who knows how to use it, this rewrites your whole dev process for good

[0xMorty @0xMortyx]

This 20-min workshop by the creator of Claude Code will teach you much more about vibe-coding than 500 YouTube video guides and tips

Bookmark it & give it 27 minutes today. This video will change the way you use Claude forever

[0xRicker @0xRicker]

This trader made $1,113 by betting $56 on the Amsterdam temperature using one pattern

He doesn't trade one market. He trades every market where the crowd is asleep at the wheel

he earned over $4,800 and has open positions for $9,700

The pattern is always the same: market prices something at 1–12¢. He knows it's happening. He enters. It resolves at 100¢

He doesn't specialise in a category. He specialises in finding markets priced at 2–12¢ where the answer is already obvious - and nobody has checked yet.

$56 → $1,113 · Amsterdam 15°C · Yes @ 5¢ · +1,888%

But that's not even his best trade

$161.50 → $3,521 · Elon Musk 300–319 tweets · Yes @ 1.7¢ · +2,080%
$188.69 → $1,791 · Elon Musk 65–89 tweets · Yes @ 5.6¢ · +849%
$72.17 → $1,078 · Toronto temp 18°C+ · Yes @ 5¢ · +1,394%

The edge isn't the market type. It's the price

Profile: https://t.co/9dWTqjli4q

[0xRicker @0xRicker]

This trader turned $80 into $2,732 with a single bet on the temperature in Shanghai

$20,969 last month and $42,105 all-time with 1,237 predictions

His model: GFS + ECMWF for weather. Public filings + hiring data for corporate

He pulls 3 independent weather models per city. When they all agree - he enters. When there's any doubt - he waits

The crowd prices Seoul 20°C at 25.9¢. The models already say it's happening. He loads

Market catches up at resolution. +210%

The 2.8¢ entry is the one that breaks your brain. $80 in. $2,732 out

The market gave 97% chance it won't happen. Three weather models said otherwise. He trusted the math

This is the same edge a meteorologist has over a tourist who checks the sky

Except he built a system that does it automatically. Across Seoul, Shanghai, Taipei, Shenzhen

That's not luck. That's reading a forecast 12 hours before the crowd does.

Profile: https://t.co/bh3jRWHYHz

[0xRicker @0xRicker]

Jane Street pays $650,000 a year to quants who trade using neural networks

This 1 hour lecture of a Jane Street talk on real ML infrastructure > 6 months of any course on YouTube

You'll finally see what tier-1 quants actually optimize

Bookmark & watch, no matter what

[0xRicker @0xRicker]

Andrej Karpathy - former OpenAI co-founder and ex-Tesla AI lead - just gave one of the most-watched AI talks of the year

If you build, write, or ship anything online - this 39-min talk reframes how the next decade plays out

bookmark - it will change the way you using AI tools

[0xRicker @0xRicker]

Two Sigma quants pull in ~$550K/year - and most of their edge comes from ML

This 1-hour deep-dive from Two Sigma's research team breaks down exactly how they apply machine learning to financial markets

Bookmark it and watch. Then read the article below

[0xRicker @0xRicker]

This HFT bot make $88,182/month with 0 profile views and a trade executed every 4.6 minutes

The market has no idea it exists

P(Xₙ₊₁ = j | Xₙ = i) = pᵢⱼ ≥ 0.87 → ENTER

That's the whole formula. Andrei Markov published it in 1906. It's been making this account $88K a month

He runs pure BTC directional scalping across hourly and 5-minute windows with a wide entry range

36¢–63¢, simultaneously holding Up and Down positions on different time windows at the same time

700–2,400 shares per position. Multiple windows open in parallel. One trade every 4.6 minutes, 24 hours a day

t detects when the Markov state is committed and enters regardless of direction. Both sides work. The math is identical either way

Mean entry ≈ 50¢ → avg r ≈ +100% per resolution

Profile: https://t.co/eJdGxZx8i9

[0xRicker @0xRicker]

Instead of watching Netflix, watch this 80-minute MIT lecture on the Black-Scholes model and risk-neutral valuation

You'll finally understand the risk-neutral measure and how a contract at 0.87 is literally a probability

Bookmark & watch, no matter what

[0xRicker @0xRicker]

82 minutes of MIT real analysis on logs, exp and power series > 6 months of quant crypto alpha YouTube slop

You'll finally understand what convergence and continuity actually mean - the stuff Shannon, Kelly and Thorp built their entire edge on

Bookmark & watch, no matter what

[0xRicker @0xRicker]

30 minutes of Veritasium's "The Equation That Beat Wall Street" > 6 months of any quant guru on YouTube

You'll finally understand what edge, information advantage and Kelly sizing actually mean and why Jane Street pays $650k a year for quants

Bookmark & watch, no matter what

[0xRicker @0xRicker]

This HFT bot prints $17–20K every week using one strategy and turned $215 → $199,214

$17,492 last week alone. 53,571 total predictions. Still going

The entry range is the widest of any bot I've tracked: 8.7¢ to 97¢

Two modes running at once:

Mode 1 - High-confidence scalping (81–97¢)
Enters when the market has already committed a direction but still leaves 3–19¢ on the table. Small spread, small size, extremely high win rate

Mode 2 - Extreme discount entries (8.7¢–57¢)
Fires when the Markov matrix shows a committed state that the market is pricing as near-impossible. One position at 8.7¢ is currently sitting at 9.5¢ - unrealized but loaded

Fastest way to copy-trade him even with $10 using: https://t.co/7qw0SmTB5j

350 trades/day × 30 days = 10,500 trades per month
Mean return per trade implied: $17,492 / ~2,200 weekly trades ≈ $7.95 net per prediction

The bot doesn't bet big on any single position - $1,309 biggest win confirms small sizing

Profile: https://t.co/PbNRbsXLWj

Does that remind you of anyone from @Polymarket?

[0xRicker @0xRicker]

83 minutes from Robert Gallager can explain you more > every betting-strategy YouTuber alive

Martingales are the mathematical language of every betting strategy since Doob - random walks, Wald's identity

Bookmark & watch. Then re-read the post above

[0xRicker @0xRicker]

This bot made $84,708 last month and 32k last week

Has 0 profile views. Nobody is watching

9,323 predictions. $17.6K biggest win. $117.7K deployed right now

P(Xₙ₊₁ = j | Xₙ = i) = pᵢⱼ ≥ 0.87 → ENTER

When that condition holds at 47¢, the edge is +112%. When it holds at 73¢, the edge is +37%

Mean entry across active positions ≈ 63¢ → avg r ≈ +58% per resolution

The formula works regardless of which direction the market has committed to

Fastest way to copy-trade him even with $10 using: https://t.co/7qw0SmTB5j

Pure BTC directional scalping across hourly and 5-minute windows

Entry zone 47¢–87¢ - the bot reads both sides simultaneously, betting Up and Down on different time windows at the same time.

$117.7K deployed × 58% avg return = $68K theoretical monthly yield on active capital

Profile: https://t.co/fYozC3ArpE

[0xRicker @0xRicker]

OpenAI's Head of Engineering just revealed how they actually use code agents in 2026

80 minutes. free. by the person who built it

watch it. bookmark it

95% of their engineers run 10-20 agents powered by Codex daily. you still type prompts one at a time

then read the article below

[0xRicker @0xRicker]

83 minutes of an MIT lecture on PCA in Finance > 6 months of any "quant trading" course on YouTube

You'll finally understand what factor models, eigenportfolios and covariance structure actually mean

Bookmark & watch, no matter what

[0xRicker @0xRicker]

This 80-minute MIT lecture on Time Series Analysis will teach you more about how prediction markets actually work than any trading course, financial institution or "alpha" group ever will

Bookmark & watch , no matter what. It'll be the most productive thing you do this week

[0xRicker @0xRicker]

This 1 hour MIT lecture will teach you more about Portfolio Management than 20 years inside any hedge fund, investment bank or financial institution

Bookmark & watch, no matter what. It'll be the most productive thing you do this week

[0xRicker @0xRicker]

Instead of watching an hour of Netflix, watch this 1-hour MIT lecture on "option price & probability duality" that will teach you more about options trading than a 2 month internship at Wall Street hedge fund

Bookmark this & watch, no matter what. It’ll be the most productive part of your day