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Market Scanner and AI Trader are live!
Almost a month of work to get here. No strategy to write, no indicators to configure. It watches two venues, hundreds of pairs, every fifteen minutes across four timeframes, waiting for one exact structural pattern, not a vibe.
When it finds one, the AI fills a strict, schema checked decision. Direction, size, stop, target. It can't hallucinate a trade.
Stops sit past the structure, not where everyone else's stops cluster. No revenge trades. Once you're in profit enough, the stop locks to breakeven and stays there.
It's live right now, in paper mode. On purpose. We want it to prove itself before it touches real capital.
No TradingView. No Pine Script. Just turn it on.
Your backtest looked perfect. Then you went live.
On QuantumVault, every signal bot from the Lab can show the backtest it came from. Put live and backtest side by side: entry timing, trades, win rate, profit, fees and slippage.
Lost the link? Find Lab source checks your bot's webhook history for it.
Pine Script strategies in QuantumLab, signals from your @tradingview alerts.
Sideways markets chop most bots to pieces. Grid bots are built for them.
Coming soon to QuantumVault on @pacifica_fi:
One tap finds markets that are ranging
Your range drawn from recent highs and lows, with a suggested stop
Every order sized in dollars, your own maker fee filled in
Maker only, on its own subaccount
A breakeven line that moves in your favour as profit banks
Price breaks out? It pauses, holds, and restarts on its own
The planner's live now. Try it.
And now Bybit, Binance and Hyperliquid liquidation levels all part of the heatmap!
For those who like to track levels, you can do it easily on QuantumVault
Where's Bitcoin, really? Not the last candle.
New on QuantumVault: Market Stats. Bull or bear against the 50 week average, weekly and daily trend, smart money vs retail in futures, @HyperliquidX funding, and estimated liquidation zones across multiple exchanges.
One page, plain words.
Connect your wallet and open Market Stats.
Where's Bitcoin, really? Not the last candle.
New on QuantumVault: Market Stats. Bull or bear against the 50 week average, weekly and daily trend, smart money vs retail in futures, @HyperliquidX funding, and estimated liquidation zones across multiple exchanges.
One page, plain words.
Connect your wallet and open Market Stats.
The bull market's back, and you don't want to sell your SOL to trade.
On QuantumVault, put up SOL, or a staked SOL token like JitoSOL or INF, and borrow USDC against it through @JupiterExchange Lend. Nothing gets swapped. Add the USDC to your bots, repay inside the app when you're done, and your collateral comes back.
Run a few bots on one shared account and one liquidation can drain the rest.
On QuantumVault, every signal bot gets its own sub-account on @pacifica_fi, with its own key and its own margin. If one bot gets liquidated, your other bots' collateral isn't touched.
Money moves between each bot and your main account, never bot to bot. Auto top-up is off unless you turn it on.
It won't save a bad strategy. It stops one bad bot taking the rest down with it.
You know this trade. Price runs most of the way to your target, turns around, and takes out your stop.
In paper trading, once a trade is 75% of the way to target, AI Trader moves your stop just past entry, far enough that the trade still breaks even after fees. If it can't prove that, it leaves your stop alone.
Available in paper trading now.
Every backtesting tool shows you a green equity curve. Almost none of them tell you the number is probably a lie.
A strategy tuned on its own history will look great on paper and lose money live. That's overfitting, and it's the single biggest reason optimised strategies fail.
So QuantumLab holds part of your data back. Set an out of sample holdout and it reserves the most recent slice of the range, thirty percent by default. The random search, the refinement, the tuning, all of it runs on the older portion only.
Then the survivors get replayed across the whole period and their trades are split by entry time, in sample and out of sample. Out of sample counts for nearly twice as much when they're ranked, and a strategy whose risk adjusted return falls apart on the unseen data gets penalised on top of that.
What you get back is a verdict. Robust. Some decay. Likely overfit.
And if you didn't set a holdout, it says no holdout. It doesn't pretend the result was validated.
All of it runs on QuantumLab's own Pine engine. TradingView isn't needed for the research at all.
It won't stop you losing money. It'll stop you believing a number that was never real.
Everyone asks the same thing about letting an AI trade: what stops it doing something stupid.
Every trade the AI Trader wants to make is a request, not an order. Before anything reaches the exchange it passes through guardrails written in code, and those decide what actually executes.
Every entry has to carry a stop. Wrong side of entry, too far out for the timeframe, or past the liquidation boundary, and it's rejected. Reward has to be at least 1.2x the risk. Leverage can never exceed 5x, and volatility usually caps it lower than that.
Three quarters of the way to target the stop moves to breakeven. It only ever tightens.
The part we care about most: when it can't verify something, it refuses rather than guesses. Missing volatility data falls back to 1x instead of assuming. If it can't tell what your position is, it won't open a new one. Once an entry fills it checks the protection is really live, and if it can't confirm that, it closes at market and pauses the bot.
Bots start in paper mode and have to pass funding and promotion checks before they trade live.
Back in May we asked what a perps platform would look like with a real liquidation prevention engine, and said we were building one. Here it is.
Borrow against your collateral to fund a Flash bot and that loan needs watching. Auto Top Up and Auto Repay watch it for you.
If the loan drifts toward liquidation, Auto Top Up adds collateral from your account to pull it back to safety. If a top up isn't possible, Auto Repay pays the debt down instead, using the bot's spare USDC first, then bringing back its parked Vault savings if that isn't enough.
It checks every minute and only acts once the loan is genuinely at risk. A cooldown stops it churning. A floor stops it burning gas on dust.
The part we care about most: if it can't verify the loan's health, it doesn't act on a guess. It tells you instead.
Both switches are opt in, per bot. You turn them on once.
The AI Trader We are working on Automatically moves the stoploss once it gets 75% into profit on a trade
So in circumstances where price almost takes your TP but then something like this happens, it still closes in a small profit, at least Breakeven
All key levels the Agent sets for TP/SL and BE price are visible on the charts
Watching the new Market Scanner AI Trading bot work its magic.
Even more fun is watching it self improve based on its playbook.
We have something really cool coming!
It's in testing and this was its first trade.
We didn't tell it to do anything it picked the ticker, timeframe and executed the trade!
An XRP short right at an M formation.
Kimi K3 now live on the QuantumLab strategy creator as an option.
We also are using it as part of our Internal Audit Array.
The frontier model race is getting hot!
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.
This is a 17-place jump from Kimi-k2.6 (#18 -> #1).
In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.
The full model weights will be released by July 27.
Congrats to the @Kimi_Moonshot team on this major milestone!
All its reasoning prints before it opens a position:
Confirmed M-pattern (double top) with price 0.3% below 1.11 neckline aligns with 1h LH/LL downtrend; 15m HH/HL misalignment is counter-trend bounce now failing. Short targets measured move to 1.082 (R:R ~2.4:1 net of 0.08% RT fee). Stop beyond 1.1176 swing high/neckline retest zone. Asia/London overlap liquidity supports breakout execution. COT neutral does not oppose. Participation unavailable but structure + HTF level loss sufficient.
QuantumVault retweeted
AI Trader is live to test.
Before it touches real money, it has to earn it. Thirty days minimum. At least ten trades. Profit factor above 1.1. Drawdown kept under 30 percent.
It reads open interest and funding, cross-checked against Hyperliquid. Professional trading analysis most bots skip entirely: COT positioning data, Dow theory market structure. Plus the full indicator stack, EMA, RSI, MACD, ATR, ADX, Bollinger Bands, Supertrend, OBV.
Trade frequency caps out at six a day on lower timeframes, two on higher ones. Leverage is clamped to real volatility, never a slider you drag up yourself.
Paper mode first. Always.
Full AI trading, on QuantumVault.
AI Trader is live to test.
Before it touches real money, it has to earn it. Thirty days minimum. At least ten trades. Profit factor above 1.1. Drawdown kept under 30 percent.
It reads open interest and funding, cross-checked against Hyperliquid. Professional trading analysis most bots skip entirely: COT positioning data, Dow theory market structure. Plus the full indicator stack, EMA, RSI, MACD, ATR, ADX, Bollinger Bands, Supertrend, OBV.
Trade frequency caps out at six a day on lower timeframes, two on higher ones. Leverage is clamped to real volatility, never a slider you drag up yourself.
Paper mode first. Always.
Full AI trading, on QuantumVault.
Per-bot borrowing is live on @FlashTrade bots.
Borrow $USDC against your own collateral to fund a bot, whatever asset you're holding keeps earning its own yield in the background while the bot trades with the borrowed USDC.
Borrow low, park that USDC in a vault earning more, keep the spread. Or repay it if the trade isn't worth carrying anymore.
Carry Trade Advisor now runs per bot too and tells you which way makes sense.







