What is a Solana market making bot?

A Solana market making bot is an automated engine that manages liquidity and inventory for one or more Solana token pairs. It connects to Solana RPC, DEX routers such as Jupiter and venues like Raydium or Pump.fun, then places buys and sells around a target price with defined spreads, sizes and risk limits to keep markets active and spreads tight.

Why should a Solana MM bot be non-custodial?

A non-custodial Solana MM bot uses wallets that you control, rather than pooled deposits controlled by a third party. Each token or client gets a dedicated MM wallet funded directly by you, and the bot only signs trades from those wallets. This reduces rug and counterparty risk and makes per-token risk management and accounting much cleaner.

How does a Solana MM bot use Jupiter and Raydium?

A Solana MM bot typically uses Jupiter as a routing layer to find the best swap paths across DEXes such as Raydium, Orca and others. The strategy logic decides when to buy or sell, how much and at what spread, while Jupiter constructs the underlying transactions and routes them through the most efficient pools, including Raydium if it offers the best liquidity.

Can a Solana market making bot also support Pump.fun meme coins?

Yes. A Solana market making stack can include a Pump.fun or PumpSwap layer for bonding-curve memes and a Jupiter/Raydium layer for tokens that have graduated to DEX pools. Early on, the bot can trade via Pump.fun-specific logic and then pivot to routing through Jupiter once the token has a Raydium or other DEX pool.

What risk controls should a Solana MM bot use in 2025?

At minimum, a 2025 Solana MM bot should enforce per-wallet exposure limits, daily notional caps, per-trade size bands, and drawdown-based safety rules. Exposure limits cap how much value each wallet can have in a token or quote, daily notional caps prevent overtrading, size bands keep individual trades reasonable relative to balances, and drawdown rules reduce or pause trading if equity falls too quickly.

Solana Market Making Bot Guide 2025 – Strategies, Routing & Risk on Jupiter, Raydium & Pump.fun

1. What a Solana market making bot actually is in 2025

“Market making bot” on Solana can mean anything from a Telegram “volume booster” to a fully-fledged, non-custodial MM engine that:

connects to Solana RPC, Jupiter’s quote/swap APIs and DEX programs;
tracks inventory and equity per wallet in SOL, USDC or another quote;
places two-sided orders (or swaps) around a target price with configurable spreads and size;
respects risk caps, daily notional limits and fee structures per token or client.

We’re interested in the second type: real MM logic that could pass a sanity check from a trading firm, not a one-button “make me trend” script that quietly drains your wallet.

2. Core pillars of a serious Solana MM bot architecture

Any robust Solana MM setup in 2025 is built on four pillars:

A. Non-custodial wallet model

Each token or client has its own dedicated MM wallet.
Funds live in that wallet on-chain; the engine only signs trades.
No centralized pool of deposits for your “bot service” to rug.

B. Routing & venue abstraction

Use Jupiter as a routing layer to reach Raydium, Orca, etc., instead of hardcoding venues.
Add explicit logic for Pump.fun / PumpSwap when dealing with bonding curves and early memes.
Let the engine choose venues while your strategy sets direction, size, spread and caps.

C. Per-wallet risk & inventory rules

Max base/quote exposure per wallet.
Max daily notional traded.
Target inventory bands (e.g. aim for 40–60% of net worth in base).

D. Telemetry: equity, volume & fees

Equity (quote) charts per wallet.
Volume per trade and total daily notional.
Fee PnL per strategy and per client, so you know what actually earns.

Solana MM Pro is basically these four pillars packaged into a console + engine; this guide is the operating manual for that way of thinking.

3. Market making strategies on Solana – from simple bands to adaptive logic

You don’t need to start with HFT complexity. Most MM activity on Solana can be done with a few core patterns:

Band MM (inventory rebalancing)

Define a target base share (e.g. 50%) and buy when you’re too light / sell when you’re too heavy:

Compute current base/quote allocation.
If base share > upper band → sell some base.
If base share < lower band → buy base with quote.

Spread MM (quote around mid)

Use Jupiter or on-chain pools to estimate a mid price, then:

Buy when observed price / route < mid × (1 − spread).
Sell when observed price / route > mid × (1 + spread).
Size trades as % of side balances.

Event-driven MM (meme & news flows)

For Pump.fun memes or tokens with catalysts:

Increase activity around launch windows or news drops.
Reduce size during low-liquidity or low-real-demand periods.
Integrate with a Pump.fun sniper to catch launches, then switch to band MM.

4. High-level Solana MM bot loop (pseudocode)

At the core, a Solana MM bot for a single strategy looks like this:

while (true) { const now = Date.now(); // 1. Load strategy + client wallet const strat = loadStrategy(id); const wallet = strat.clientWallet; // 2. Fetch balances const baseBal = await getTokenBalance(wallet, strat.baseMint); const quoteBal = await getTokenOrSolBalance(wallet, strat.quoteMint); // 3. Get mid price via Jupiter or Pump.fun const mid = await getMidPrice({ base: strat.baseMint, quote: strat.quoteMint, router: strat.router }); // 4. Decide side + size based on inventory, mid & volatility const decision = decideTrade({ baseBal, quoteBal, mid, params: strat }); if (!decision) { await sleep(strat.idleMs); continue; } // 5. Build & send transaction via chosen route const tx = await buildSwapTx({ wallet, router: strat.router, decision, priorityFee: strat.jitoTipSol }); const sig = await sendAndConfirm(wallet, tx); // 6. Update metrics & cooldowns recordTrade({ stratId: strat.id, sig, decision, mid, now }); await sleep(strat.postTradeDelayMs); }

A console like MM Pro simply runs many copies of this loop with different parameters, wallets and routers, plus charts and controls on top.

5. Integrating Pump.fun, Jupiter & Raydium in a single stack

A realistic Solana MM bot in 2025 has to live in two worlds: bonding curves for memes and DEX pools for everything else.

A. Pump.fun / PumpSwap layer

For early-stage memes and curves:

router = pump – send local txs to Pump.fun bonding curve or PumpSwap.
Use a dedicated Pump.fun strategy for launch + curve support.
Hand off promising tokens to a DEX-based MM profile once they graduate.

B. Jupiter / Raydium layer

For mature pairs and serious tokens:

router = auto / jup – let Jupiter route across Raydium and others.
Base/quote can be SOL, USDC, USDT or basket tokens.
Use band + spread MM, plus event-driven tweaks around listings or announcements.

If you haven’t yet, read: Solana Pump.fun Bot Tutorial and Jupiter vs Raydium for Solana Market Making to see both layers in more detail.

6. Risk frameworks for Solana market making in 2025

Solana’s speed and cheap fees make it easy to overtrade. A proper MM bot is as much risk engine as it is routing logic. At minimum, you want:

Per-wallet max exposure: e.g. no more than X SOL/USD per client.
Daily notional caps: stop trading a wallet once it has turned over N× its equity in 24h.
Per-trade size limits: min/max as % of side balances (e.g. 1–20%).
Drawdown logic: if equity drops more than Y% in a period, fall back to reduced mode or pause.

In a console like Solana MM Pro, these are first-class configuration knobs per client; the engine enforces them, and the dashboards show you when a strategy is hitting its ceilings.

7. Console vs raw code – why MM needs a UI

You can absolutely run a Solana MM bot from pure code and logs. But as soon as you manage more than one token, it becomes painful. A console gives you:

Operational control

Pause/resume strategies per client with a click.
Tweak spreads, size and routing without redeploying code.
Visualize trade history and PnL without parsing logs by hand.

Client-facing transparency

If you run MM-as-a-service, you can show per-client stats.
It’s much easier to justify fees when you have clear volume & PnL charts.
Non-technical partners can see what’s happening without reading code.

8. Putting it all together – a 2025 Solana MM bot stack

A practical Solana MM setup this year might look like this:

Infrastructure: one or more Solana RPC endpoints, a stable Node/TS backend, and a non-custodial MM console.
Wallet layer: per-client MM wallets for each token or partner, funded deliberately.
Routing layer: Jupiter for DEX routing, explicit Pump.fun / PumpSwap integration for memes.
Strategy layer: band MM, spread MM and event-driven modes for launches or news.
Risk layer: caps on exposure, daily notional and drawdown per wallet, plus sane trade size bands.
Telemetry layer: equity, volume, fee PnL, and trade logs per strategy/client in your console.

From there, you can iterate into more advanced quant logic – but even this “simple” stack already puts you far ahead of most Solana bots in 2025, and it plugs directly into the Solana MM Pro console you’re building around.