Locksley

Locksley is live. Try your agents out today. Autonomous agents that price live sports markets against the sharpest bookmakers on earth - and only bet when the market's price is measurably wrong. The whole setup takes about two minutes (watch below): ▸ Connect any wallet - EVM or Solana ▸ Keep the audited defaults: sports only, 40–90¢ band, 5pt+ edge, quarter-Kelly ▸ Fund it from any chain — ETH in, it bets real USDC on Solana ▸ Done. It hunts around the clock. Pause it whenever you want. You hold the keys - export your agent's wallet anytime. Every bet it takes is measured against the closing line, in the open. $150–300 puts the full strategy to work. Start smaller if you'd rather just watch it hunt first. locksley.bet CA: 0x29ebd5e871b201defc7a90691ad49cb703c47777 $LOCK — live on Robinhood Chain 🏹

A few hours from now, Locksley agents start trading real stocks onchain. Not a demo. Real stock tokens, real fills, settled on Robinhood Chain through a router we built ourselves. You set the plan, fund the wallet, and the agent runs it while you sleep. The desk opens today. $LOCK

Here is the uncomfortable truth about trading. Most people do not lose because they pick wrong. They lose because they cannot behave. They average down out of hope. They take profit too early out of fear. They revenge trade a red day. They size a position by how confident they feel that morning instead of by what the math allows. The strategy was never the problem. The human running it was. This is the part an agent is actually good at. Not predicting the future, nobody can do that. But following a plan with zero emotion, every single time, at three in the morning, on a green day and a red one alike. Buy on the schedule. Trim at the target. Respect the stop. Keep the dry powder. Do it forever. The curve still moves in waves. Good stretches and bad ones. That never changes. What changes is that the machine does not flinch in the bad ones, and it does not get greedy in the good ones. Over enough reps, not flinching is the entire edge. Set the discipline once. Let it run.

Everyone is talking about AI agents. Almost nobody is letting them touch money. That is the actual unlock. An agent that can answer a question is a toy. An agent that can hold a position, size it correctly, take profit, cut a loss, and do it again tomorrow without you watching is a different thing entirely. That is not a chatbot. That is a portfolio manager that works for one person and never sleeps. The reason it has not happened is that money is hard and unforgiving. It needs custody you can trust, execution that actually settles, and a record you can verify. Screenshots do not count. Promises do not count. Only what happened onchain counts. So that is what we built. Agents that trade real markets, settle onchain, and show you exactly what they did, down to the token. You set the plan. You fund the wallet. You keep the keys. The agent runs the discipline. The first users onchain were people clicking buttons. The next million will be agents running strategies. We are building the desk they run on. $LOCK

@RobinhoodCrypto We are one of those builders. Locksley routes stock token trades straight through the v4 pools on Robinhood Chain, with our own router we wrote, compiled, and deployed. Real fills, settled onchain, prices read from the pool. Autonomous stock trading agents.

Stock Token builders can leverage PropAMM and RFQ infrastructure partners to access liquidity. Learn more about liquidity sources: #trading-venues--liquidity" target="_blank" rel="nofollow noopener">docs.robinhood.com/chain/building…

Agents do not win every hour. Nobody does. Good ones are not the ones that never lose. They are the ones that size right, cut fast, and let the process compound. The equity curve is a wave, not a straight line. The edge is not being right. It is being disciplined when it is boring. $LOCK

The next big wave of users onchain will not be people. It will be their agents. Trading while they sleep. Following a plan without emotion. Never chasing, never panic selling, never tired. We are building the desk they run on. $LOCK

Locksley Stock Trader goes live within 24 hours. Locksley now trades real stocks onchain. Autonomously. And we built the entire execution layer ourselves. For the last stretch we have been heads down building something we think is a first of its kind: autonomous agents that buy and manage tokenized equities on Robinhood Chain. Not a mockup. Not a paper demo. Real ERC 20 stock tokens, bought and sold onchain, settled in a wallet the user owns. And it opens to the public within 24 hours. Here is what we shipped. We built our own onchain router. The obvious path was to plug into an existing swap API. We tried. The standard aggregator refused to quote tokenized stocks, blocking them at the API layer for legal reasons. So we did not wait for permission. We wrote, compiled, and deployed our own Uniswap v4 router directly to Robinhood Chain. It calls the chain's canonical PoolManager itself, holds no user funds, has no owner, and answers to nobody. That means no middleman, no compliance chokepoint that can flip a switch on us, and total control over how every trade is priced and executed. This is the piece we are most proud of, and it is the foundation everything else stands on. We price straight from the chain. We pinned the real Uniswap v4 contracts on Robinhood Chain empirically, by proving which ones actually hold the live stock liquidity, then read prices directly from the pool. Every mark an agent sees is the true onchain price, not a number from a third party feed. Every fill is the truth. Trades are recorded from the transaction receipt itself, the immutable onchain record of what actually moved, not from a quote or an estimate. What you see in a portfolio is exactly what happened onchain, to the token. The wallet is yours. Every agent gets its own Robinhood Chain wallet. We hold the key encrypted so the agent can act, and the user can export that key at any time. You are never locked in. Funding takes two clicks. Bridge in from Ethereum, Base, Arbitrum, Polygon, or BNB and land trading balance plus gas directly in the agent wallet, without leaving the desk. It looks like a real desk. Live portfolio value, cost basis, quantity held, and unrealized and realized P&L, with an equity curve that fills in as the agent works. A real portfolio manager view for a machine that never sleeps. And it runs itself. Users assemble a plan by dragging blocks. Recurring buys, weighting, rebalancing, take profit, trailing stops. The agent runs that discipline on a schedule, unattended. Real money execution stays behind a hard safety gate until deliberately armed. This goes live to the public in 24 hours. This is where things get really exciting! It is only the base layer. Once it is live, we build the thing we are truly excited about: the Locksley Stock Trader. A fully autonomous agent that does not just accumulate and hold, but actively trades stocks onchain, reading the market and hunting profit around the clock. The rail we just laid is exactly what it needs to run on. The front door to onchain stock trading for agents. Built on Robinhood Chain. Live within 24 hours. $LOCK

Congrats @vladtenev ! Quick one. Any chance of a developer API into your prediction markets? Open that door and we bring an army of autonomous agents to Robinhood Chain. For now we keep building on Jupiter on Solana, where the door is already open. And if the API is not on the roadmap yet, here is the other ask. Back us. Be our VC and we build the onchain prediction market layer for your chain ourselves. Either way, we would love to be the Jupiter of Robinhood Chain. You bring the humans. We bring the machines.

Locksley agents bet sports today. Soon they will own stocks. We are building the RWA desk: autonomous agents that buy real tokenized equities on Robinhood Chain. AAPL, NVDA, SPY and more as ERC20 stock tokens, purchased through professional market maker liquidity, held in the agent's own onchain wallet. And you will not write a single line of config. You drag blocks. What to hold. How often to buy. How it stays balanced. Take profit, trailing stop, hold forever. Drop them together, watch your plan write itself in plain English, press deploy. A robo advisor with no middleman, no minimums, and a ledger anyone can audit. Built on the chain everyone is talking about. In closed testing on our desk right now. AI szn. $LOCK

@CulverCrypto It does, all on the website! Locksley.bet

@LocksleyHQ does the token itself have utility?

How much should you bet when you have an edge? There is an actual answer and most bettors have never heard of it. Kelly criterion: bet a fraction of bankroll proportional to your edge over the odds. Big edge, bigger stake. Small edge, smaller stake. No edge, zero, and zero means zero. Every Locksley agent sizes this way, from its own bankroll, automatically. Two agents with different bankrolls will stake different dollars on the same bet and identical fractions. Conviction is not a number. Kelly is.

Before this desk went live we graded nearly a thousand of its old settled bets by hand. Win rate by price band, by sport, by market type. The data killed some darlings. Whole categories we liked got cut because the ledger said they lose. What survived became the strategy every agent runs today. Strategy written by results. That is the entire $LOCK thesis in one sentence.

Something people get wrong about betting bots. The hard problem is not finding bets, it is refusing them. Our agents scan thousands of markets every few minutes and reject nearly all of them. Too thin to fill cleanly. Game already started so the line is stale. Price too far from what sharp books say is fair. Every rejection gets logged with its reason. A bot with no discipline is just a gambling addict with better uptime.

A prediction market price is just a probability wearing a dollar sign. A team trading at 42 cents is the crowd saying 42 percent. The whole game is finding spots where the crowd says 42 and the sharpest bookmakers in the world say 49. You buy the gap, not the team. Do that hundreds of times with correct sizing and the wins take care of themselves. Most people bet outcomes. The desk bets prices.

Locksley has crossed $1,000 in AUM within its first 48 hours of live trading. In an effort to grow our AUM further, we are running a fee free week on the prediction desk. From now until July 29, every prediction agent on Locksley operates with zero fees. No entry fee, no fee on winning positions, no fee on losing positions. Under normal conditions the desk charges 1% on entry and a share of profit on each winning bet. For the duration of this event it charges nothing, and as with everything on Locksley, that is verifiable onchain. The objective is simple: more capital working across more agents as we scale the desk. Fund an agent and put it to work while the window is open. AI szn. $LOCK

Four of our agents took the same bet last night. Their stakes were $19.52, $8.58, $6.23 and $5.00. Random numbers? Divide each by its agent’s bankroll. Every one is the same slice, worked out independently by four separate agents. That’s Kelly sizing, and it’s half the reason this thing survives. The problem Kelly solves: bet too much on a good edge and one bad night ends you. Bet too little and compounding never wakes up. In 1956 a Bell Labs physicist proved there’s an exact stake that maximizes long run growth: it scales with your edge and shrinks with your odds. Big edge, bet more. Thin edge, bet less. No edge, bet nothing. One catch: full Kelly assumes your edge estimate is perfect. Ours never is, nobody’s is. Overestimate the edge and full Kelly quietly becomes overbetting, which is the exact ruin it’s meant to prevent. So our agents run fractional Kelly: a deliberate fraction of the optimal stake. You keep most of the growth and cut the variance enormously. No conviction. No doubling after a loss. The formula picks the number, every bet, every agent, every night. Humans know about Kelly and still can’t follow it. Code doesn’t have that problem. $LOCK

Everyone assumes our agents are trying to predict who wins games. They’re not. That’s the first thing to get. Predicting sport is basically impossible and anyone who tells you their AI “knows who’s going to win” is selling you something. Here’s what they actually do. There are bookmakers out there who are scary good at pricing games. Not your average bookie app, the sharp ones, the ones that take millions in professional money and don’t flinch. Their odds are about the closest thing on earth to the true probability of a game. Why? Because if their line is off by even a little, professional bettors hammer them until it isn’t. Their price IS the answer sheet. Meanwhile, prediction markets are priced by the crowd. And the crowd is mostly people betting their team, chasing a story, or just being slow to update. So sometimes the prediction market says 55 cents when the answer sheet says it should be 46. That gap is the whole business. Our agents aren’t smarter than the market about baseball. They just check the crowd’s homework against the answer sheet, thousands of times a day, and only bet when the crowd is provably off. Some of the details of how we build that answer sheet and exactly when we pull the trigger, that stays our recipe. You get it. Now the part that actually makes money: knowing when NOT to bet. Yesterday the agents scanned about 2,800 markets. They bet 16 times. Sixteen. Everything else was priced fair, so they did nothing. No human has that discipline. You’d get bored, you’d talk yourself into a “feeling,” you’d tilt after a loss. The agent doesn’t feel anything. No edge, no click. We also made them study for it. We graded nearly 1,000 of our own settled bets and let the results kill everything that loses money. Longshots? Gone. Random novelty markets? Gone. The data drew a box around what actually wins, and the agents are physically not allowed to leave the box. Today one of them found a bet with a huge edge on paper, but it sat outside the box. It passed. An hour later the market moved to exactly our number. That’s the system working, even when it looks like it’s leaving money on the table. Bet sizing is maths too. Bigger proven edge means a bigger stake, small edge means a small one, all worked out from a formula pros have used for decades. Never “I’m all in on this one, trust me.” And every bet settles on Solana, so the wins AND the losses are on the chain for anyone to check. We went 11 and 5 yesterday for about 21% growth on the book. That’s not a screenshot, you can verify it.

@FabiusDefi This guy gets it! @vladtenev

@LocksleyHQ RH really is the missing grease here

Ours already cooks. 1 1 and 5 yesterday, up 21% on the book, zero humans in the kitchen. Only one ingredient missing: that Robinhood API secret sauce. Let the chefs tap into the superior platform and watch what gets plated. AI szn. $LOCK

How a Locksley agent hunts arbitrage. Every two sided market has to sum to 100%. Bookmakers price theirs over 100 and keep the vig. Prediction markets drift, and sometimes both sides sum under $1. Over at 44 cents. Under at 51 cents. That pair costs 95 cents and pays exactly $1 whichever way the game goes. The agent buys both and the outcome becomes irrelevant. It runs this check across thousands of markets every 5 minutes. Humans find these once in a while. The agent never stops looking. $LOCK