01What QuantumOrb is
A quantum-inspired intelligence network for memecoins on Solana. It reads every launch, curve trade and pool swap on Pump.fun and PumpSwap, holds each launch as a probability state, scores the wallets whose results hold up, screens each launch for manipulation, and collapses the state into a trade on its own only when it still pays after every cost.
Copying a trader is one input among several, never the whole decision. QuantumOrb does not race snipers for the first slot; it works in the minutes after a launch, when the chain shows who is really buying.
The quantum model, in plain terms
Quantum describes how the model is built, not the hardware it runs on. Five ideas organise it, and each one is a concrete part of the system:
- State
- The core model's three probabilities for a launch: +60% first, −30% first, or neither within the hour. They always sum to one, and the Orb holds one state for every launch it scores.
- Interference
- Every signal adds a signed contribution to the odds. Signals that agree reinforce each other; signals that conflict cancel, and the state stays close to the prior. The State builder on the home page lets you try it.
- Entanglement
- Wallets tied by a funder, a launch-slot bundle or a creator act as one. Cartographer counts them once, so twenty linked buyers never look like twenty opinions.
- Decoherence
- Evidence fades. A wallet's trade loses half its weight every 21 days, and the model retrains each night on a rolling 14-day window.
- Measurement
- The first barrier the price touches in the hour collapses the state into one label, traded or not. Calibration checks that measured frequencies match the stated probabilities.
02The path of one decision
Seven steps, six agents and the Orb, in the order the work moves. The target is about one second from the trigger, a followed wallet's buy or a burst of organic buying, to a decision: roughly three Solana slots.
- SCT
ScoutReads every confirmed slot, about one every 400 ms, and turns each launchpad event into one clean record: token, wallet, size, price, slot.
- MAP
CartographerTraces who funded each buyer, who landed in the launch slot or the same Jito bundle, and which wallets belong to the creator. It answers one question: how many of these buyers are really one actor?
- JDG
JudgeScores the wallets trading the coin on profit per trade after fees and copy-bots, not on win rate.
- ORB
The Orb · core modelA gradient-boosted model (LightGBM) adds the agents' signals into one state of three chances: +60% first, −30% first, or neither within 60 minutes.
- QNT
QuantSimulates the exact fill and takes every cost off. Only an expected value above +3%, with costs under 4%, gets a size.
- GRD
GuardScreens every launch once 5 SOL is in its curve, so the core only scores clean ones, then checks again right before the order: new red flags and room in the book. A veto collapses the state to no trade; Guard can stop a trade but never start one.
- EXE
ExecutorTurns the collapsed state into an order: lands it through Jito and sets the three exits. Today it trades in research mode.
You can run example traces of this path in the Life of a decision terminal on the home page.
03Where the data comes from
- A Yellowstone gRPC stream from a Solana RPC node: create, trade and complete events from the Pump.fun program, swaps on PumpSwap, and token-account changes. Solana has no public mempool, so QuantumOrb reads what was confirmed in each slot.
- Funding history for every buyer, so a wallet can be traced to the wallet that first sent it SOL. Exchange hot wallets are labelled and left out of the graph; otherwise everyone funded from one exchange would look linked.
- Many buys go through Jupiter or trading terminals, so a trader is identified by the owner of the token account that receives the tokens, not by the fee payer.
04How a launch is screened
Pump.fun coins are minted with fixed supply and the creator cannot pull the pool's liquidity after migration, so Guard looks where manipulation actually happens:
- how much supply one bundle bought in the launch slot;
- how much slot-0 snipers still hold;
- how many buyers share one funder;
- the creator's record: how many coins they launched and how many survived;
- how much the top 10 holders own outside the curve.
On this site Guard's basic checks already run on chain for every live launch: mint and freeze authority, risky Token-2022 extensions, the top 10 wallets and the largest wallet outside the curve, and the creator's share, read from the bonding curve. One red flag is enough to block, and the reason for every block is written to the decision log. Guard checks again right before any trade, for new red flags and for room in the book.
05How wallets are scored
Memecoin traders often win a third of the time and live off the rare big run, so win rate says little. Judge keeps a belief state for each wallet's profit per trade after fees: a Bayesian model that starts from a typical wallet that loses a little, fitted to all wallets with 20+ trades. Each trade counts at most +200% and the spread of each wallet's results is its own, so one lucky token barely moves it; a long record does.
Old evidence decoheres: a trade loses half its weight every 21 days, so a wallet that stopped working loses its rating instead of living off old wins. The best wallets are copied by bots within a slot or two, and QuantumOrb itself enters about a second later, so what copy-bots and that delay take is subtracted: the only edge that counts is the one left at our entry. A wallet is followed only when the chance that its edge survives all of that is at least 90%.
06How a trade is decided and sized
The Orb builds the setup's state mostly from its order flow: new buyers a minute, buys over sells, the share of fresh wallets and whether the top holders are concentrating. Each signal adds a signed contribution, so signals that agree reinforce each other and signals that conflict cancel, leaving the state near the prior. A followed wallet's buy is one feature among these, not the only way in: strong organic flow (8+ new buyers a minute, buys at least 1.4× sells, at most 40% fresh wallets) triggers a decision too. Bundle share in slot 0, the creator's record and a linked Telegram channel complete the picture. Since late July 2026 a freshly migrated Pump.fun coin gets five minutes of automatic BOOST buying, burned as it is bought; that demand is mechanical, so it is not read as buyers' interest. Its probabilities are checked against outcomes and recalibrated, so a 30% call should keep meaning about 30%; the calibration chart on the Training tab shows where it has been too sure.
Quant then weighs the three ways out of the trade, pricing the stop where stops really fill on a gap (about −36%, not −30%) and a time-out at its average exit, about −7% today and re-estimated from the labels, and subtracts every cost: the launchpad fee each way (1.25% on a Pump.fun curve as of September 2026), the priority fee and Jito tip on the way in and out, and the price impact of its own buy and sell, computed on the exact constant-product curve for the planned size. Fees fall with a pool's fee tier, and the priority fee and tip follow the network's load instead of a fixed buffer. A trade needs the expected value after all of it to clear +3%, and the costs to stay under 4% of the trade. Quant then picks the size that makes the most SOL in expectation, at most a quarter-Kelly stake computed at the cautious end of Core's estimate, at most 3% of the book, an average fill at most 1% above the current price, and the room left in the book.
07Exits and risk
TAKE-PROFIT+60%
STOP−30%fills ≈ −36% on a gap
TIME LIMIT60 MIN≈ −7% on average · from data
SIZE¼ KELLYat the cautious P · ≤ 3% of book · costs ≤ 4%
OPEN POSITIONS≤ 6
BANKROLL IN PLAY≤ 15%
Whichever barrier the price touches first closes the trade. Memecoins fall together when SOL does, so a single coin is never sized alone: the whole book is capped, and no new trades open for the rest of the day once the day's closed losses reach 5%. The day stop only blocks new entries; open positions keep their own stops. So the worst day is the 5% already lost plus every open position stopping out on a gap at about −36%: in theory, with the full 15% in play, about −10% plus costs; at today's sizes, with a few percent in play, nearer −6.5%.
In practice the size is set by the 4% cost cap. On a Pump.fun curve the launchpad fee alone takes 2.5% of a round trip, so only about 1.5% is left for the priority fee and Jito tip in and out and for the price impact of our own buy and sell. That allows roughly 0.2 to 0.7 SOL a trade, and when the network is busy no size fits until about 20 SOL is in the curve. Six open positions use only a few percent of the book. Profit is capped by costs and by how much the curves can absorb, not by the size of the book: more capital does not mean proportionally more profit.
08How it learns
Every launch that passes Guard is measured: from the moment the model first scores it (a followed buy, strong order flow, or ten minutes after the Guard check if nothing triggers it), the first barrier its price touches within the hour, take-profit, stop or time limit, collapses its state into a label, whether it was traded or not. Labelling only the trades it took would teach the model nothing about the setups it turned down. The hour starts at that first score, not at the 5 SOL check: on a Pump.fun curve, 30 SOL of virtual reserves floor the price about 27% below its level at 5 SOL, so a −30% stop could never be reached from there. Each launch counts once, from its first score: a later trigger on the same launch adds no new label, so busy launches do not outweigh quiet ones. The labels retrain the model every day on a rolling 14-day window, so it keeps up with a market whose rules and fees change often.
A one-hour gap separates the training days from the test days, so no label straddles both. Each night the challenger and the live model's recipe are trained on the same 14 days and tested on the next 3 days, which neither has seen, so the live model never tests on days it learned from. The challenger replaces it only if it is better by more than twice the day-to-day noise. A model that passes is then refit on the latest 14 days before it goes live, so it never misses the newest labels. Its probabilities are checked on every scored setup, not just the ones it traded, so a 30% call keeps meaning 30%. The Training tab shows every night's run and the calibration.
09What you receive
Once the bot trades live, signals are sold as a subscription in a Telegram bot. Each one carries:
- the coin, its contract address and where it is on the curve;
- why it was picked: its order flow, followed wallets in, linked buyers, what Guard checked;
- the model's three chances and the net expected value after costs;
- the exits: take-profit, stop and time limit.
Until then no signals are published, on this site or anywhere else. The Training tab shows how the model learns instead: the labels it collects, every nightly model run, shipped or rejected, and whether its stated chances match what happened. The bot's own trading and the signals are kept apart: the bot trades other tokens from its own wallet and never buys or sells a token it sends as a signal, so subscribers are never used as exit liquidity for its positions. QuantumOrb never holds your funds and never asks for your keys; what you do with a signal is your decision.
10Where it stands today
QuantumOrb covers token discovery, wallet research, risk screening and model-based decisions. The Tokens and Traders tabs, event stream and wallet graph use data from DexScreener, Solana and GeckoTerminal. The Training tab displays model diagnostics and readiness milestones.
- NOWTrain
Indexer, wallet scores, launch screening and model decisions.
- NEXTOpen
The code on GitHub, then this site in public with the model's training in the open.
- THENToken
$QORB launches and trades on the open market. The bot keeps training on a model book; how it learns is public.
- THENLive trading
When the conditions on the Training tab are met, the bot gets real capital and a public wallet.
- THENSignals
Subscriptions paid in $QORB.
11The $QORB token
$QORB is the project's token. Its planned use is one thing: paying for a subscription to QuantumOrb's signals once they are sold.
- Launch. The token launches after the code and this site are public. At first it simply trades on the open market and has no use yet. Meanwhile the bot keeps training and trading a model portfolio, and how it learns is published on the Training tab.
- Live trading. When the conditions listed on the Training tab are met, the project gives the bot real capital and it trades from a public wallet. There is no fixed date: it happens only if the results justify it.
- Subscriptions. From then on, signals in the Telegram bot are sold as a subscription paid in $QORB. The bot's own trading and the signals are kept apart: the bot trades other tokens from its own wallet and never buys or sells a token it sends as a signal, so subscribers are never used as exit liquidity for its positions.
- No buybacks. The bot's trading profit, if it makes any, stays in the project and its trading deposit. It is not used to buy $QORB, is not paid out to holders and is not used to hold up the price.
A subscriber buys $QORBon the open market
→
Pays for signal accessin the Telegram bot
→
Receives the signalsthe same messages for everyone
12FAQ
Is this a bot that trades for me?
No. Today QuantumOrb trades only in research mode and publishes no signals. Once it trades live, signals go to subscribers in a Telegram bot, and what you do with one is up to you. The live wallet on the roadmap is QuantumOrb's own, public wallet; it never touches yours.
How can I check the results?
The Training tab shows how the model is doing without listing any trade: each night's run against the live model, shipped or rejected, and whether its stated chances match what happened. Once the bot trades live, its wallet's transactions are on chain for anyone to verify.
Which launchpads does it read?
Pump.fun, and PumpSwap once a curve completes.
Why not buy in the very first slot?
The first slot is a race of infrastructure and bundles, and most of what happens there is the launch group itself. QuantumOrb works in the minutes after, when the chain shows who is really buying.
What do I need to receive signals?
A Telegram account and $QORB to pay for the subscription, once subscriptions open. They open only after the bot moves from research mode to live trading. Until then no signals are published anywhere; the Training tab shows how the model learns.
Does holding $QORB earn anything?
No. The token is for paying for signals. It gives no share of profits, no dividends and no claim on the bot or its wallet, and the bot's profit is never used to buy it back. Its price can fall to zero.