Predite ships with 6 pre-built strategy templates, each tuned to a different market behavior. This doc explains what each one does, when it works best, and the key parameters to configure.
## 1. EV Follower (Signal)
What it does: Scans for markets where the AI edge exceeds your threshold and buys the favored direction.
Best for: Catching mispriced markets early. This is the bread-and-butter strategy and our recommended starter.
How it works:
- Every 15 minutes, the bot checks all active markets matching your category and platform filters.
- For each market, it computes the current AI edge.
- If edge β₯ min_edge AND confidence β₯ min_confidence AND liquidity is sufficient, the bot places a market order.
- Position size = min(max_position, Kelly_size Γ bankroll, available_liquidity).
- Stop-loss and take-profit trigger close orders.
Parameters:
- Min edge (pp): 5-20. Higher = fewer but better-quality trades.
- Min confidence: 50-95. Higher = more selective.
- Max position ($): $25-1000. Start small.
- Stop-loss (%): 15-50. Tighter = exits losses sooner but cuts good trades.
- Take-profit (%): 30-100. How much profit before locking in.
- Daily trade limit: 1-50.
Expected performance: 55-65% win rate, 8-15% monthly P&L on well-tuned settings (historical backtest).
## 2. ARB Hunter (Arbitrage)
What it does: Detects cross-platform spreads on matched markets and executes both sides to lock in a risk-free profit.
Best for: Markets that exist on both Polymarket and Kalshi with different prices. Arbitrage opportunities are rare but pay reliably when they happen.
How it works:
- Predite's matcher identifies markets representing the same event across platforms (e.g., "Will Fed cut rates in June 2026" on both Polymarket and Kalshi).
- The bot computes the implied spread: P(YES on Polymarket) + P(NO on Kalshi). If this is less than $1.00 minus your min profit threshold, there's arbitrage.
- The bot places both sides simultaneously (or as close to simultaneous as the APIs allow).
- Holding until resolution guarantees a payout of $1.00 total, locking in the difference as profit.
Parameters:
- Min spread (%): 1-10. The minimum guaranteed profit per arb. 2-3% is realistic; 5%+ is rare.
- Max position per arb ($): how much to commit per opportunity. $200-1000 is reasonable.
- Total capital reserved: how much of your bankroll the bot can have tied up in arbs at once.
Expected performance: Lower volume (10-30 trades/month) but very high win rate (95%+). Locked-in profits don't require resolution to be correct.
Risks: Execution timing β if one side fills and the other doesn't, you're naked. The bot monitors and unwinds, but slippage can eat the spread.
## 3. Whale Copier (Copy)
What it does: Mirrors trades from wallets you specify in real-time.
Best for: Following established profitable traders without manually monitoring their activity.
How it works:
- You provide a list of wallet addresses to follow.
- The bot watches Polymarket on-chain activity for those wallets.
- When a followed wallet trades, the bot replicates the trade in your account, scaled by your copy %.
- Stop-losses fire based on your config (not the followed wallet's).
Parameters:
- Wallets: list of addresses. 1-10 wallets recommended.
- Copy %: 5-100. What fraction of their size you replicate.
- Max size per trade ($): hard cap regardless of their size.
- Min size per trade ($): skip their tiny exploratory positions.
Expected performance: Mirrors the followed wallet's P&L minus slippage. If they make 20%/month, you'll make ~15-18% after fees and delays.
## 4. Mean Reversion (Quant)
What it does: Fades extreme price movements, betting that overreactions will revert toward the prior price.
Best for: Liquid markets that experience sudden 10+ point swings due to single news items or viral posts.
How it works:
- The bot tracks recent price history (last 1 hour) for each market.
- If the current price has moved >= deviation_threshold from the 1-hour mean, AND volume has spiked, the bot bets against the move.
- Example: market at 50%, news drops, market spikes to 75% on heavy volume. Bot bets NO if the AI consensus still says ~55%.
- Position closes when price reverts toward the mean (take-profit) or moves further against (stop-loss).
Parameters:
- Deviation threshold (pp): 8-25. How much the price must have moved to trigger.
- Volume spike multiplier: 2-10x. Recent volume must exceed normal by this multiple.
- AI confidence threshold: 60+ (otherwise you're just guessing).
- Max hold time: 1-12 hours.
Expected performance: Moderate win rate (55-60%) with above-average winners. Sensitive to false signals from genuinely big news.
## 5. News Reactor (News)
What it does: Trades on sentiment shifts from the integrated news feed.
Best for: Fast-moving events where being first to react beats analytical accuracy.
How it works:
- The bot subscribes to news headlines from Finnhub and other sources.
- For each headline, the AI assigns a sentiment score (-100 to +100) and a topic.
- The bot finds markets matching the topic and trades the direction predicted by sentiment.
- Example: "Fed signals June rate cut more likely" β bot buys YES on the "Fed cuts in June" market within 60 seconds of the headline.
Parameters:
- Min sentiment magnitude: 50+ (avoid weak signals).
- Topics: which categories to react to (Fed, earnings, geopolitics, etc.).
- Max trade size: $50-500.
- Max delay (seconds): how stale a headline can be before the bot ignores it. Default 90s.
Expected performance: Extremely variable. Works well during high-volatility news periods, can lose money during quiet times when sentiment models misfire.
## 6. Calendar Bot (Macro)
What it does: Positions before scheduled events using historical patterns.
Best for: Predictable catalysts β Fed meetings, earnings, elections, scheduled economic data.
How it works:
- The bot reads the integrated economic calendar.
- For each upcoming event, it looks up historical pattern of pre/post-event price movement.
- It places positions 2-48 hours before the event based on the historical edge.
- Positions close right before the event (avoiding event-window volatility) or right after (capturing the typical post-event drift).
Parameters:
- Event types: Fed, CPI, jobs report, earnings, etc.
- Lead time (hours): how far before event to enter.
- Hold through event (yes/no): risky but higher-EV if the model has a directional edge.
- Min historical edge (pp): only act on patterns with >= this much historical edge.
Expected performance: Steady but modest. 5-8% per month is typical when well-tuned.
## Combining Strategies
The Bot plan allows up to 5 active bots simultaneously. A reasonable diversified portfolio:
- 1 Γ EV Follower (broad signal capture)
- β’1 Γ ARB Hunter (low-correlation income)
- β’1 Γ Whale Copier following 1-2 trusted wallets
- β’1 Γ Mean Reversion in highly liquid markets
- β’1 Γ Calendar Bot for scheduled events
This gives you exposure to multiple alpha sources. Avoid running 3 EV Followers with slightly different parameters β they'll fight for the same trades.
## Related Docs
- [Bot Builder Overview](/docs/bot-overview)
- β’[Bot Execution Engine](/docs/bot-execution)
- β’[Building Your First Bot (guide)](/guides/building-first-bot)