How AlphaBot Works

Launch a bonding curve backed by a quant engine. Here's the math behind it.

The AlphaBot Flywheel

DepositSOL enters bonding curve
Engine Trades69% traded (2.87 Sharpe)
ProfitEngine generates gains
Auto-Buy85% of profit buys token
BurnTokens permanently burned
Floor RisesLess supply = higher price

The flywheel: deposits fund the engine, profits burn tokens, when profitable, the floor rises.

From Launch to Liftoff in 5 Steps

1

Create

Pick a ticker, name, and logo. Your Strategy Vault deploys on a bonding curve in 60 seconds. The bonding curve uses a constant product formula (x * y = k) with virtual reserves, which means the token price starts low and rises predictably as more people buy in. There is no pre-mine, no insider allocation — every token is minted on the curve at a fair, mathematically determined price. Vault creation is free — you only pay Solana gas.

2

Ape

Others buy your vault token directly on the bonding curve. Early buyers get it cheaper — the curve creates natural price discovery with the same speculative energy as a memecoin launch. As demand increases, the price rises along the curve. Sellers can exit at any time through the same curve; 30% of all deposits are held in a liquid reserve specifically so there is always instant sell liquidity available. This is the degen UX people love, except here, the money deposited actually does something.

3

Trade

69% of deposited SOL flows into an omnibus engine pool where it is actively traded by AlphaBot's quant engine. The engine runs a momentum breakout strategy across 21 Solana tokens, rebalancing every 2 hours around the clock. A BTC regime filter (MA24 > MA72) ensures the engine only takes risk-on positions when the broader market trend is bullish, protecting capital during downtrends. The remaining 30% stays in reserve so sellers always have instant liquidity.

4

Burn

When the engine makes a profit, 85% of those profits are used to auto-buy the vault token on the bonding curve and permanently burn it. This reduces the circulating supply, which mechanically pushes the price floor upward on the curve. Burns happen via a TWAP (Time-Weighted Average Price) mechanism to prevent MEV exploitation. Over time, this creates a floor price that aims to rise over time — unlike a memecoin where there is no buyback mechanism, an AlphaBot vault token has burns backed by real trading profits.

5

Graduate

When a vault reaches ~134 SOL / ~$20K in actual AUM, it graduates. 40% migrates to a locked Raydium LP (SOL + vault tokens, ~$8K) and 60% continues as a smart treasury (~$12K). The quant engine keeps trading the treasury, and buy-and-burn continues post-graduation. Your token now trades on a real DEX with deep liquidity, while still benefiting from the engine's performance.

The Quant Engine

At the heart of every AlphaBot vault is a battle-tested quantitative trading engine. It does not rely on hype, narratives, or human intuition. It uses systematic momentum breakout signals across a diversified universe of 21 Solana tokens, with strict risk management at every layer.

2.87Sharpe Ratio (90d)
+33.6%Return (90d)
-17.7%Max Drawdown
21Tokens Traded

The engine runs an hourly momentum breakout strategy with multi-exit targets. It scans the market every 2 hours, ranking tokens by momentum score and allocating capital to the top-ranked opportunities. It holds a maximum of 3 positions at any given time — concentrated enough for meaningful upside, but diversified enough to avoid single-token blowups.

A BTC regime filter (24-period moving average above 72-period moving average) acts as a macro guard. When Bitcoin's trend turns bearish, the engine moves to cash, avoiding the worst of market-wide drawdowns. This simple filter is responsible for a significant portion of the strategy's risk-adjusted outperformance.

Over a longer 730-day backtest, the daily variant of the strategy returned +78.6% with a Sharpe ratio of 1.17 and a max drawdown of -36.4%. The shorter 90-day window with hourly signals produced the sharper 2.87 Sharpe, demonstrating that higher-frequency rebalancing captures more alpha in Solana's volatile markets.

Important: This is not a promise of future returns. Past performance from backtesting does not guarantee future results. All figures above come from historical backtests and paper trading, not live capital deployment. Markets change, and drawdowns can and will happen.

Where the Money Goes

Every SOL deposited into a vault is split transparently. There are no hidden fees, no back-door withdrawals. The split is enforced by the smart contract on-chain.

On Every Deposit

30%

Reserve

Held as instant sell liquidity. Always available so you can exit at any time through the bonding curve.

69%

Engine Pool

Actively traded by the quant engine across 21 Solana tokens. This is where the alpha comes from.

1%

Fees

Split evenly: 0.5% to the protocol, 0.5% to the Vault Manager. Hardcoded in the smart contract.

When the Engine Profits

85%

Auto-Buy & Burn

Used to buy the vault token on the curve and permanently burn it. This reduces supply and raises the price floor over time.

15%

Performance Fee

Goes to the protocol to fund development, infrastructure, and continued engine improvements. Only charged on profits, never on losses.

Why AlphaBot Is Different

There are plenty of ways to trade on Solana. Here is why AlphaBot occupies a fundamentally different category.

vs Pump.fun & Memecoins

Memecoins launch on a bonding curve, pump from hype, then collapse to zero when attention moves on. There is no underlying value creation. AlphaBot vaults launch on a similar bonding curve — you get the same speculative energy and early-buyer upside — but deposited SOL is actively traded by a quant engine. Engine profits buy and burn the token, creating a structural price floor that aims to rise when the engine is profitable. The token has somewhere to go besides zero.

vs Traditional DeFi Vaults

Traditional DeFi vaults (Yearn, Kamino, etc.) offer yield farming with modest returns and boring interfaces. They attract capital but not attention. AlphaBot wraps institutional-grade quant infrastructure in degen-native UX: bonding curves, PvP speculation, burn mechanics, and viral launch energy. The result is a financial product that spreads like a memecoin but runs like a quant vault.

vs Copy Trading

Copy trading platforms let you follow human traders. The problem: humans blow up. They revenge-trade, they get emotional, they size positions based on gut feelings. AlphaBot's engine is purely algorithmic — no emotions, no ego. It follows systematic rules with a backtested 2.87 Sharpe ratio. It trades the same strategy 24/7 regardless of what Crypto Twitter is saying.

The Moat

Anyone can fork a frontend in a day. Nobody can fork the engine. The quant strategy is the product — it took months of research, backtesting, and iteration to build. Forks without a real engine will have bots that lose money, which means their buy-and-burn mechanism works in reverse (no profits = no burns = no floor). This creates a natural death spiral for imitators and a durable competitive advantage for AlphaBot.

Safety & Risks

AlphaBot is designed with multiple layers of protection, but no system is without risk. Here is what protects you, and what you should be aware of.

Built-In Protections

-15%

Circuit Breaker

Circuit breaker halts all trading at -15% portfolio drawdown from peak. Automatic and cannot be overridden.

-20%

Position Force-Exit

Individual positions are force-closed at -20% loss. Automatic and cannot be overridden.

30% reserve is always available for instant sells on the bonding curve. Even during a market crash, you can exit your position. If the reserve drops below 12%, the engine automatically rebalances from its trading pool to replenish it back to 25%.

TWAP anti-MEV protection ensures buy-and-burn operations cannot be sandwiched by MEV bots. Burns are executed over time at weighted average prices, not in a single vulnerable transaction.

Smart contract security has been validated through 6 rounds of internal security audit and 2 independent pentests. The program includes slippage protection, rent-exempt guards, k-invariant protection, two-step admin transfers, and emergency withdrawal capability.

Risk Disclosure

AlphaBot uses a backtested quant strategy. Past performance does not guarantee future results. The figures quoted on this page (2.87 Sharpe, +33.6% return) come from historical backtests and paper trading, not live capital deployment.

Crypto assets are highly volatile and largely unregulated. Smart contracts, despite audits, can contain undiscovered vulnerabilities. Oracle failures, market manipulation, and extreme volatility events can cause losses beyond what backtests predict.

Never invest more than you can afford to lose.

Read the full Risk Disclosure →

Ready to launch?

Create a Strategy Vault in 60 seconds. Pick a ticker, deploy on Solana, and let the quant engine trade for you.