GPT-6 Astra builds the MOST POWERFUL 24/7 trading agents
i wrote a 6-page research paper on exactly how to use GPT-6 Astra at its FULLEST potential to build mathematical trading strategies like hedge funds
along with COMPLETE CODEBASE
here is how you set it up:
1. the 4 mathematical trading models every hedge fund runs. Ornstein-Uhlenbeck stat arb, Avellaneda-Stoikov market making, Hawkes order flow, Heston volatility. exact formulas for each
2. the exact validation thresholds. Sharpe above 1.5, drawdown below 15%, hit rate above 55%, t-stat above 2.0, walk-forward across 5 years
3. why the math was never the wall. the wall was the 6 salary team at $1.8M annual cost per model. Astra covers every role
4. the AgenKit harness that installs 10 specialist agents inside Codex CLI with test-first builds and two-stage review gates
5. the 6 layer production architecture with Kelly-sized positions, 5% drawdown kill switches and delta-neutral hedging
6. the exact one-line prompt that ships a working mathematical model like hedge funds in one weekend
this is the EXACT system i have been running for the past 5 days & results are INCREDIBLE so far:
Top 10 stocks under $10 billion with massive market oppourtunities.
1. $ONDS | Aerial and Ground Defense Intelligence with $140 Billion addressable market.
10 GPT-6 ASTRA AGENTS SOLVED A $1,350,000 HEDGE FUND PROBLEM IN 25 HOURS
I gave my Money Heist crew one task and took my hands off the keyboard:
find a trading pattern that could power a personal mini hedge fund on Robinhood Chain
→ In 25 hours, they earned back the $120 subscription cost 100 times over
The Professor split the research across ten agents.
They analyzed 20,000 token launches, matched wallet histories against liquidity and tested trading ideas under different execution conditions.
Tokyo gathered evidence. Rio ran the tests. Nairobi compiled the results into an investment memo.
Palermo sent back strategies that depended on a perfect entry or one lucky trade.
Every objection triggered another round of calculations.
By the end of the operation, the crew had $12,000 in capital and a clear understanding of what to research next, how much risk to take and when to avoid trading altogether.
Research costs stayed within $120. For hedge funds, investigations like these cost millions of dollars.
I set the objective. The agents divided the work, checked the findings and returned one consolidated result.
The full architecture of this crew is in my article ↓
I ranked every launchpad on @arc before public mainnet
only 3 days left until Arc goes public on Sept 16
so early positioning is already getting aggressive
native Arc USDC is reportedly trading at 1.82x-1.85x all-in through OTC markets
that means users are accepting a 76-78% premium + ~3% in fees, just to access Arc before everyone else
i wouldn’t pay that premium myself, but i take the signal seriously
ppl are not rushing to hold USDC, they want to use it on day 1
then again i believe new token launches will likely be one of the first destinations
so i researched around 30 Arc launchpads and ranked them by product readiness, mainnet exposure and potential to attract early liquidity:
full tier list ↓
[1] Tier 1
- @liftdotfun → focused on native USDC launches
- @circlewarp → owns both the bonding curve and its DEX
- @synthra_finance → combines an AMM, aggregator and buyback model
these have the clearest day-one positioning in my view
i'll probably ape $DEPEG - first play on @liftdotfun, must be a runner ngl
[2] Tier 2
- @actfunxyz
- @ArcadeSwap
- @arcpad_meme
- @TollyLabs
- @arclaunchfun
the most interesting one here may be ArcadeSwap
it supports both bonding-curve launches + direct Uniswap v4 pools
giving projects more control over how liquidity is launched
[3] Tier 3
- @Archemistdotfun
- @UBIdotFUN
- @Fliptfun
- @arcfunapp
- @eve_dot_fun
- @minarafun
- @Arguspad
pre-mainnet branding is easy, execution after launch is what matters
[4] Watchlist
- @Zyoradotfun@sashimidotfun@rwarcdotfun@focidotfamily@Ayooclub
- copycat platforms using similar names
i’d also verify every handle, contract and domain before connecting a wallet
there are already several similar names
all over all, this is how I’m reading the board:
- Tier 1: strongest day-one exposure
- Tier 2: credible products, but execution still needs confirmation
- Tier 3: early and less proven
- Watchlist: relevant, but difficult to rank
i expect this list to change quickly once real volume and user retention appear
20+ AI projects worth keeping an eye on this cycle
Dolphin
OpenServ
Venice
Reppo
Gitlawb
Near
Grass
Nockchain
Rei
Surplus
Humanity
Peaq
Codec
Bankr
Virtuals
Kite
Allora
Targon
lium
Score
Chutes
Synth
Metanova
iota
affine
Oro
Quasar
@danishnuclear@andersbaek1 Hvis du beder et superintelligent system om at "helbrede kræft så hurtigt som muligt", kan den matematisk set hurtigste vej være i det skjulte at inficere millioner af mennesker med specialdesignede mutationer for hurtigt at køre aggressive, parallelle forsøg fx
The past 48 hours have been pretty nuts on Robinhood (RH) Chain...
203k wallets now hold tokenized equities (+46% in 3 days)... an inflection point in distributing equities to new holders
"Float squeezes" fast becoming a w/e fiasco as penny stocks become prime targets for onchain trenchers
Latest RH Chain developments:
1/ BONER/HIMS: Stock meme. BONER (Fartcoin of RWAs?) absorbed roughly 81% of available HIMS tokens, which traded 37% above its underlying share price - see my longer post on this below & why this will become increasingly important
2/ CINEMA: Stock meme. An isolated AMC pool traded at multiples of spot as CINEMA token pumped
3/ @ArtificiallyInu: Stock meme. 23% of RH’s NVDA supply now backs AI; degens gunning for that "Board Sit"... as more projects launch memes to pair with other (smaller) tokenized equities this drives value back to the AI (Long) eco so worth paying attention
4/ @ponsdotfamily: Launchpad. Insane run as Market cap now > $400m as leading protocol on RH. 63% share; cbBTC pairs, $5.3M fees, $1M revenue + now perps available to help large holders hedge their downside, but also onchain squeeze hunting commences?
5/ @fablesfi: RWA DEX. TVL doubled to $2.24M; fees reached $16K. PROLOGUE token is a prequel to the Fable token afaik. Check @MCGlive show this weds for large catalyst - could become the Aerodrome of RH
6/ @longdotxyz: RWA DEX. Passed $210M volume, including $90M through NVDA; now has $5M in TVL across all its RWA pools h/t @Natan_benish
7/ @prismassets: RWA marketplace. Prism Assets will add tokenized antiques (nice) soon to bolster its 2k+ RWAs tro trade including uranium + other exotic assets
8/ @arcus_xyz: Exchange. Beta crossed $2B volume; 1,674 active perps traders as the contrinutors from DyDX create this RH focused primitive
9/ @Lighter_xyz: Perpetuals. Chainlink partnership bolsters RH distribution for perps; RH volume rebounded 44% as L()ong teased integration + excited to see broader offerings on private company stocks (OpenAI just the beginnig)
10/ @virtuals_io Agent platform. $270M RH volume; co-authored policy-wallet standard ERC-8196; essentially could see a lot more agentic activity on RH chain as agents plug into new protocols...
Still believe this is a HUGE opportunity for agentic first protocols to start deploying solutions on RH. Seeing copy trading bots emerge but there's so much more to offer!
11/ @scalarliquidity: Liquidity. SCL launched via v4[dot]fun; holders receive 0.4% trading fees. LP protocols are gonna become increasingly important give the w/e activity!
12/ @NetNetCap: Treasury. Crossed $5M; $2M now sits in tokenized equities. new market on Longbow lend also for wsNET/USDG to facilitate broader credit markets
13/ @Uniswap: DEX. $5.5M daily fees; TVL reached $134M as V4 hooks become a fundamental innovation driving a lot of acrtivity on RH around tokenized stocks
14/ @gmgnai: Trading terminal. RH fees rose 38% to $1.3M daily. Trading apps (particularly Fomo / Pump) are driving a lot more interest in onchain. The uPNL for FOMO could possibly become the preferred avenue for plumbers as it incentivized longer hold times
15/ @giga_dex: DEX. Genesis scheduled today; daily volume reached $24M; another liquidity alternative to look into
16/ @MosaicETF: RWA baskets. Expanding from RH to Base, BNB and Solana - multi chain with more assets available could be a reasonable play long term
17/ @Tangem: Wallet. Added RH support, ATM cash-out and zero-fee Pay Plus. Large additional distribution to broader users
18/ @uponrh: Liquidity DEX. $112K fees, $74K revenue; TVL reached $8.5M; already plugged into the Clutch/Stonbroker eco
19/ @thicket_rh: GPU network. 1,183 active nodes within its first 36 hours; certainly something a bit different leading the DePin charge on RH
20/ @GwoodFinance: Neobank. Beta walkthrough scheduled today with its live product on @MCGlive ; fast becoming a great source of insights
21/ @ClutchMarkets: aka Stonkbrokers. Trading stack. Reveals STORMM + leverage machine = permissionless options-underwriting layer where tokenized-stock holders sell volatility to degens
22/ @longbowlend: Credit. Crossed $60K TVL and $11.6K active loans with whales positioning for what could be a leading credit layer opportunity - recent addition is wsNET/USDG
23/ @deltaliquidity: LP manager. Partial withdrawals, deposits, charts and PnL fixes shipped. More competition emerging here but it's clear from the "Float squeezes" that LP protocols are going to be key
24/ @letscashfun Launchpad. Emerging alt launchpad with custom supplies now range from 1B to one quadrillion
25/ @RamsesExchange: DEX. Fees jumped 55% to $74K; TVL reached $2M. Popped on my radar today, currently multichain afaik but new token worth monitoring
26/ @RadioSharing: social deployment layer. BANKR of RH goes live
27/ @Pons_Factory: Launchpad on Pons. Provides automatically pairing with leading Pons token. Could be interesting value accrual to PONS. Just released "Paste a tweet, launch a token"
28/ SPACETIME. Meme on Pons. The original name of Robinhood caught the attention of the timeline.
Alpha: @umia_finance is coming to market with what I expect to have a number of high value projects coming through their pipeline (including RH chain)
OPPORTUNITY: LIQUIDITY DEPTH
The warning is that user growth is currently outrunning available onchain float... so flip that into an opportunity; protocols providing productive Stock Token liquidity
Float squeezes creates volume and fees, but also creates broken pegs, fragmented prices + weekend markets that can detach violently from their underlying shares
Which material protocol or Stock Token experiment am I missing? I'll append below or include tomorrow
Let me know below in the comments if you want a spreadsheet of all the tokenized equity/ meme pairs - i'll include in my newsletter tomorrow if so
Defi and utility on hood is the meta.
Here are my lists that i have right now and i believe might do well.
1. $BRICKS [ $350k MC ] - @brickswalltech A protocol designed to help establish a price floor for other tokens.
With its own angle. Still sitting at a low cap, and the concept is interesting enough that I decided to take a small gamble here.
2. $ZAPS [ $1.5M MC ] - OpenZaps @0xzaps lets you automate DeFi without giving an AI or bot full control of your wallet.
3. $EARN [ $3.9M ] - @EARNONHOOD is basically trying to make tokenized stocks and RWAs earn money while you hold them, instead of just sitting idle.
4. $OMEGA [ $117k MC ] - @omegaliquidity is basically a liquidity discovery and trading interface built around Robinhood Chain.
DYOR also and this is my thesis for every early projects that im into on FOMO.
If you have:
Hermes Agent
Claude Code & Codex Handoffs
Obsidian + QMD Memory System
Run Agentic Loops
Fleet Tailscale Mesh
Cron Jobs + Kanban Board
Agentic Workflows
Congrats you are the top 1% of the AI god stack
Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M
He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one.
His wallet: https://t.co/PKzMvqb51X
Here's what he actually built.
A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator.
It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once.
Six agents each validate their own call. A trade only fires when they converge.
They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen.
He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money.
I've been copying him for a week and PnL prints like a money printer on steroids.
Here's the part the firms don't want public: MiroFish just broke algo trading.
The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely.
Save this and build your own - or skip the homework and copy his with this bot: https://t.co/vbDZyVcfT3
Google's former CEO just said what everyone in AI already knows
Building wealth is getting easier if you actually learn the tools
Not by scrolling AI threads
By understanding agents, Claude Code, prompts, memory, skills, MCP, and routines
Save this before it disappears from your feed
Everything below is free:
Agent architecture
https://t.co/hhrSyF3y6u
Claude Code 101
https://t.co/71Zu7xQmxc
Claude Code in action
https://t.co/vg8fPChJxl
Prompt engineering
https://t.co/xEu7M3CPe1
Interactive prompt course
https://t.co/oGCxHkqFBD
Claude.md + memory
https://t.co/v6JKlS4OJl
Skills
https://t.co/AJCWlDcMU7
MCP
https://t.co/tQTUYCwN16
Routines
https://t.co/gAnEdq5SP0
Claude Code ultimate guide
https://t.co/WeDLJBVaGM
Awesome Claude Code
https://t.co/wvpwfcaf6U
Anthropic academy
https://t.co/uu3JyZyWyt
Official Claude Code docs
https://t.co/xuUWAfZGXy
All of this costs $0
Most people will keep asking AI one question at a time
Save this and start learning the stack
Garry Tan (CEO of Y-Combinator): "when someone asks how I 'prompt' my AI, the answer is: I don't. the skills are the prompts."
[if I had this weekend to master skills and how to use them to automate workflows:]
→ read the Skillify 11-item checklist (SKILL.md in gbrain)
→ watch Murag + Barry Zhang: "Don't Build Agents. Build Skills Instead."
→ Read "Designing, Refining, and Maintaining Agent Skills at Perplexity"
→ do one workflow. type /skillify. watch it become permanent. that's the whole day.
here is how to set it up:
1. clone GBrain (his open-source second brain, Postgres-backed memory + 30 skills)
2. add GStack (23 battle-tested slash-command skills, drops right in)
3. do anything once → type /skillify → it's a skill forever
prompting is dead. skillifying is next.
This is the best site on the internet to learn harness engineering.
Free. Completely.
Most AI engineers have never heard the term.
https://t.co/bwDbTTYsjM
Bookmark this site.
Then read this setup ↓