Interactive tool · strategy comparison
Facing a row of strategy bots on OKX, the hardest thing for a beginner isn't how to start one, but which one suits you, and suits the market right now. Below we line up seven common strategies side by side — which market each suits, how risky it is, how hard to pick up, what the typical pitfalls are. You can filter by risk, difficulty and market. None of these need you to write code — OKX's built-in bots are enough.
Note: the risk levels describe the typical character of each strategy's mechanism, not a return forecast. The same strategy behaves very differently in a ranging market and a one-way market, so filter by market first.
Slice a price range into equal steps, buy a little each step down and sell a little each step up, earning the spread step by step as price swings back and forth inside the range. An entry-level strategy suited to a ranging market.
Typical pitfall: a grid only works well in a ranging market. Once you get a sustained one-way drop and price falls below the bottom of the range, you keep piling up positions that lose more and more — unrealized loss is amplified and you can end up stuck holding. A one-way rally, by contrast, sells you out too early and you miss the run that follows. Before setting the range and grid count, judge whether the market really is ranging right now.
A grid run on futures, in long, short or neutral mode. You set the range and grid count the same way as on a spot grid, but the capital actually deployed is your margin multiplied by the leverage, so the gain or loss on every grid is scaled up with it.
Typical pitfall: once price leaves the range the bot stops acting, but what you are left holding is a leveraged position. If the market keeps running one way it sits at an unrealized loss and can even face liquidation. On perpetuals you also pay or receive funding while the position is open. A spot grid has none of the three: no leverage, no liquidation, no funding fee.
Add more as you lose: every time price moves a stretch against you, you double up (or scale in by a ratio) to lower your average, betting that one bounce brings you back to break-even and profit. On paper it often wins many times in a row and looks very steady.
High-risk warning: martingale is the riskiest of these. Its profit model trades a string of small wins for the risk of one big loss — hit a stretch of extreme one-way market that never turns back, and the add-ons snowball, very easily leading straight to liquidation / losing your principal, especially layered with leverage. However many times it won before, the final add-on it can't carry can give it all back. Strongly not recommended for beginners.
Spot Martingale settings and the most you may need to fund →
Buy a fixed amount on a fixed schedule (say a set sum every week), without guessing direction or timing the market, smoothing your cost basis over time. Suits people who are long-term bullish and don't want to watch charts; the simplest mechanism of all.
Typical pitfall: the low risk of scheduled buying is only relative: it smooths your entry timing, not the direction of the asset itself. If the coin you're averaging into keeps falling long-term, a lower average price still leaves you down. It suits steady, untimed accumulation over the long run, not hoping for a quick win; picking the right asset and stretching the horizon is what matters. There's also a naming trap: the calendar-based buying described here, which many people call DCA, is Recurring Buy in OKX's official API documentation; the docs also carry a separate product line literally named DCA, which doesn't watch the calendar but the price. It adds more the further price falls and takes profit each round, putting its risk closer to the Martingale tier on this page. Don't click in on the three letters "DCA" alone.
Capture the price gap of the same asset across different places — say funding-rate arbitrage between spot and perpetuals, or a momentary spread across markets. Directional risk is small, but each round earns thin margins, stacking returns on count and speed.
Typical pitfall: arbitrage is thin and fast. The spread is often tiny, and after both-side fees and slippage there may be little left; the window flashes by, and if execution is slow the spread vanishes or even flips to a loss. Its "low risk" assumes you genuinely understand the arbitrage structure you're using (how funding settles, for instance) — go in without grasping it and you're carrying hidden risk instead.
Automatically mirror someone else's (a lead trader's) trades — they open, you open; they close, you close. You don't need to understand strategy or watch charts, the simplest operation of all — but your P&L is fully tied to someone else's skill and style.
Typical pitfall: the operation is simple, but the risk depends on who you follow. A pretty past-return curve doesn't predict the future, and a high return may come from a heavy, high-leverage playbook — follow along and one bad wave can drag you into a big drawdown or even liquidation. Before copying, focus on the lead trader's risk control and drawdown, not just total return, and only test with a small position.
Connects TradingView alerts to OKX. You create a signal on OKX, get a Webhook URL and a signalToken, put both into the alert, and when the alert fires OKX places the order described in the message. The trading logic lives in TradingView; OKX only executes.
Typical pitfall: it currently supports perpetual futures only, not spot, and holds positions in one-way mode. Signals for a pair you did not select when setting up the bot are filtered out and no order is placed. It executes whatever message it receives, so the quality of the signal is down to the logic you wrote in TradingView.
No strategy matches this filter combination. Change a condition, or hit "All" to reset.
One mistake beginners easily make with quant bots is "go with whichever has the highest past return." But how high a return ran depends largely on the market over that stretch, and the market changes. A more reliable approach is the reverse: first read whether the market right now is roughly ranging or one-way, then pick a strategy whose mechanism suits that market. This table is arranged on that logic — it puts each strategy's "suited market" first.
The risk level marks the typical risk of the mechanism itself, not a specific past return. Two need a separate note: grid works well in a ranging market but a one-way drop digs you in deeper, so its risk level is "Medium"; martingale lowers your average by adding more as you lose, and when it hits an extreme market that won't turn back, the add-ons snowball into liquidation. It carries the highest risk of these, its level is "High-risk", and beginners are better off leaving it alone. The "low risk" of Recurring Buy and arbitrage is also relative, each with its own conditions, spelled out in the table.
Two more things to keep in mind: first, all of these have built-in tools on OKX, with no code needed, so the "difficulty" refers to the complexity of understanding and setting parameters, not a programming barrier; second, a bot is not an automatic money machine — it faithfully executes your rules, and wrong rules still lose. Treat this table as a quick filter for "rule out the strategies clearly unsuited to right now," and read the matching deep-dive article before you actually start.
