SpyMk

Memecoin trading is one of the highest-variance activities in crypto. The tokens move fast, the windows are short, and most of the edge available to retail traders comes from process, not from information advantages they cannot have. A repeatable workflow does not guarantee wins. It does eliminate the category of losses that come from improvised decisions under pressure.
What a repeatable memecoin workflow looks like
A repeatable memecoin trading workflow is a defined sequence governing how you discover tokens, vet them before committing capital, configure your entry parameters, plan your exit before entering, and enforce risk limits across open positions. The goal is not to trade every token that looks interesting. It is to apply consistent filters so the tokens you trade have cleared a documented threshold rather than just a gut feeling in the moment. The workflow runs in five stages: discovery, vetting, entry configuration, exit planning, and risk enforcement. Banana Pro, Banana Gun's web trading terminal at pro.bananagun.io, maps to all five stages through its widget set, covering ETH, SOL, BNB Chain, Base, and MegaETH in a single interface. For traders who prefer a chat-based interface, the Banana Gun Telegram bot at t.me/BananaGun_bot covers the same execution surface with full position sync to the terminal. Each stage below corresponds to specific documented features, not theoretical capabilities.
Discovery and vetting before any money moves
THE TRENCHES widget in Banana Pro is the discovery layer. It segments live token activity into three views: NEW DEPLOYS, CLOSE TO MIGRATION, and NEW PAIRS.
NEW DEPLOYS shows tokens freshly launched on Pump.fun and Moonshot before they have migrated to a DEX. CLOSE TO MIGRATION shows tokens approaching bonding curve completion, where a DEX liquidity event is imminent. NEW PAIRS shows tokens that have just received DEX liquidity and entered open trading. Each view represents a different risk-reward profile within a single feed. The hover-to-pause behavior lets you examine a token card without the live feed scrolling past it.
When a token catches your attention in THE TRENCHES, the vetting sequence uses three widgets. TOKEN INFO shows contract details, creation time, liquidity depth, and holder count. TOP HOLDERS shows the wallet distribution among the largest addresses, where heavy concentration is the primary warning signal. BUBBLE MAP, powered by iNSIGHTX, visualizes holder clustering, distinguishing isolated wallets from tightly connected groups that suggest coordinated selling risk.
A token that passes all three checks is a candidate for entry. A token that fails any one of them is worth skipping. There are always more tokens in the feed.
Entry: the settings that control your fill
Entry configuration determines whether you fill at your intended price or somewhere worse. The key parameters in Banana Pro and the Banana Gun bot are slippage tolerance and liquidity bounds.
Slippage tolerance sets how far from the quoted price you will accept execution. Tighter slippage on high-volatility launches increases the chance your transaction fails but protects against severe price impact. Looser slippage increases fill rate but opens exposure to front-running, particularly on Ethereum. On Solana, the optional MEV Protection toggle enables Jito routing for improved transaction ordering when you activate it.
Minimum and maximum liquidity bounds filter entries on tokens where liquidity is too thin to support your trade size without major price impact, or too deep to suggest a genuine early opportunity. With these bounds set, the snipe will not fire outside your liquidity criteria.
For tokens migrating from Pump.fun or Moonshot to a DEX, the SNIPE widget lets you pre-configure an entry that triggers automatically when liquidity is added, removing manual reaction time from the entry entirely.
Exit: limit orders, take profit, and positions
The most consistent error in memecoin trading is entering without a defined exit. When a token is moving up, the pressure to hold for more is strongest. When it reverses, the instinct to wait for recovery often costs more than the original plan would have.
The LIMIT ORDERS widget in Banana Pro accepts take profit and stop loss targets that you set before entering or immediately after. A take profit order specifies the gain level at which the system automatically sells a defined portion of your holdings. A stop loss specifies the loss threshold that triggers an automatic exit. The SELL widget handles manual exits outside those levels.
The POSITIONS widget shows all open positions across your wallets in real time, including unrealized PnL, current value, and entry price. Running this view actively while trading gives you a continuous picture of aggregate exposure, not just the individual token you are focused on at any given moment.
Risk controls that survive a bad day
The pre-trade sell simulation in Banana Pro and the Banana Gun bot runs every transaction against live chain state before execution. If the simulation detects a honeypot (where buys succeed but sells are blocked at the contract level), a hidden minting function, or other malicious contract logic, the trade is blocked automatically. This runs on every trade across all five chains.
The practical effect is that one specific category of loss, buying into a token that cannot be sold, is filtered before the transaction hits the chain.
Beyond simulation, position discipline is the remaining variable. THE TRENCHES will surface more tokens than you have capital to responsibly trade. The workflow above forces a filter at each stage: tokens that fail vetting do not get entries, entries without exit orders set are not complete plans, and positions exceeding your per-trade risk allocation are sized down before entry. Fees for reference: 0.5% on ETH manual buys and limit orders, 1% on ETH autosnipe and all other chains, 0% on stablecoin swaps. Factor these into your entry and exit math, especially at higher frequency.
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