📖 Introduction: what to know about Predict.fun points farming before your first orders
Before you start farming points, get the basics straight: where points are actually credited, which risks are built into the workflow, and what you should verify in your first 30 minutes on the platform.
Predict.fun (also referred to as Prediction Fun) is
a prediction market where you trade event probabilities
by taking
In this article, we’ll explain how points are actually accrued, why “making a prediction” isn’t the same as “farming points,” and which early mistakes most often lead to wasted time, avoidable losses, and lost motivation.
Disclaimer: this material is for educational purposes only. Points do not guarantee a token, profits, or future airdrops. Before taking any action, review the latest rules and assess risks independently (DYOR).
Once you understand the order book mechanics and the limits of the points program, points farming becomes a controlled routine, not a luck-based game.
🧩 Predict.fun: what it is and why context matters for points farming
Before you dive into farming mechanics, one nuance matters: Predict.fun currently operates in more than one context, and that can directly affect points rules and reward expectations.
In practice, the Predict.fun brand today can be viewed in two contexts.
The first is a publicly announced BNB-native version on the main domain,
which may still be in a waiting or rollout phase.
The second is a Blast-oriented product,
where the points program and the distribution of
A prediction market is a venue
where the price of a YES position (for example,
What to verify before you start farming
| What to check | Why it’s critical |
|---|---|
| Where points are credited | Rules may differ across platform versions and program periods |
| Trading format (order book) | Points farming is almost always tied to limit orders and order book depth |
| Limits and minimum sizes | These constraints most often break “farming strategies” for beginners |
| Order fill risk | Farming can quietly turn into holding an open event position |
Before you farm points, always confirm the platform context and current rules— following an outdated setup almost always leads to wasted time and mismatched expectations.
⚙️ Points farming in Predict.fun: how points are accrued and what to look for in the rules
In this section, we break down the mechanics without extra theory: where your order must sit, how long it needs to stay active, and which constraints most often prevent consistent farming.
Core logic: points are earned not by “a prediction as an opinion,” but by providing liquidity. In practice, this means the system rewards limit orders that actually remain in the order book and contribute to its depth.
—
Top-5 rule:
usually only the top
—
5-minute rule:
an order must remain active
for at least
—
Order limit:
a single market often has a cap
on the number of active limit orders
(for example, no more than
—
Minimum size:
there is typically a minimum order size
(for example, from
Common pitfall:
moving orders too frequently
often works against you.
Each adjustment can reset the clock.
If an order doesn’t stay active for the required
A snapshot is the moment when the state of the order book is recorded. If your order isn’t in the top levels at that exact moment, points for that interval are not credited.
Points farming isn’t about speed— it’s about discipline: the right level in the order book, enough time-in-book, and a clear understanding of constraints. The calmer and more precise your actions, the more consistent your results.
🎯 A 30-minute start: how to begin farming points without taking unnecessary risk
This checklist helps you enter points farming correctly: without rushing, extra actions, or unnecessary risk at the very start of using the platform.
- Confirm the network and version context. Clarify where the points program is currently active, which assets are used, and which token pays gas fees.
- Set a risk limit in advance. Decide on an amount you can keep in orders calmly, without constantly wanting to interfere and reprice your quotes.
-
Start with one market.
Controlling
top-5 and time-in-book is much easier in a single order book than across multiple markets at once. -
Place 1–2 limit orders on both sides.
Fewer orders
reduces chaos
and makes it easier
to satisfy the
5-minute rule. -
Watch for order fills.
If your order gets filled,
you transition into a
YES / NO position, and the risk profile shifts from farming to the event outcome. -
Move an order only for a reason.
For example, if you fell out of the
top-5 or the spread moved so far that your order stopped being effective. - Log your actions. Time of placement, price, reason for moving, and the points outcome quickly reveal where efficiency is being lost.
If your goal is strictly points farming, a calm model usually wins: stable presence in the top order book levels instead of aggressively chasing every price move.
The best start is one controlled market, a limited number of orders, and time discipline. The less chaos in the first 30 minutes, the more stable your farming becomes afterward.
🧠 Farming strategies: how to choose an approach and stay in the top-5
Farming strategies differ not by complexity, but by the number of actions and the level of risk. Your choice directly affects points stability and how much attention the process requires.
Conservative strategy: calm maker
Low stressYou place limit orders near the best levels and keep them in the order book long enough. The main goal is to meet time-in-book requirements consistently and avoid unnecessary reshuffling.
✅ Pros
-
Easier to follow the
5-minute rule, since orders don’t require constant edits - Lower risk of accidental fills and ending up in an unwanted position
- Minimal cognitive load— good for calm, consistent farming
❌ Cons
-
Sometimes an order falls out of the
top-5 , and farming pauses temporarily - You still need to check occasionally whether your order became “dead”
- Points may accumulate more slowly in active markets, where top levels change frequently
Best for: beginners and anyone who values stability and control over an aggressive pace.
Balanced strategy: farming plus a position
BalancedMost of your capital is used to farm points via limit orders, while a smaller portion is allocated to an intentional event position when the scenario is clear and your risk is capped in advance.
✅ Pros
- Lets you combine points farming with purposeful market participation
- More flexible for clear scenarios, without breaking the base farming setup
- Fits users who already understand fill risk
❌ Cons
- After a fill, points farming becomes secondary
- Requires discipline in position management and a strict risk limit
- Harder to track, since farming and positioning require different decisions and timing
Best for: users with basic experience who are willing to take a limited amount of market risk intentionally.
Aggressive strategy: a constant race for the top-5
High riskOrders are moved frequently to stay in the top levels of the order book and maximize eligibility during snapshots. This approach requires constant monitoring.
✅ Pros
-
Can sometimes keep you in the
top-5 longer in a highly active market - Adapts quickly to order book shifts and price movement
- Gives maximum real-time control, if you can dedicate full attention to the market
❌ Cons
- Frequent moves can easily break the time requirement
- Higher risk of accidental fills and entering a position without a plan
- Higher likelihood of mistakes due to rushing and attention overload
Best for: experienced users who can monitor the market continuously and accept elevated risk.
For most users, the most sustainable options are the conservative and balanced approaches. The less noise and unnecessary movement, the more stable points farming becomes.
📊 Farming metrics: what to track and how to interpret results day to day
These metrics aren’t for reporting— they’re for decision-making. They show whether farming is producing points, or whether you’re just moving orders a lot without results.
Daily control dashboard
| Metric | What it shows | How to interpret it |
|---|---|---|
| Time in |
How long your orders remain in the top levels of the order book | The more stable this time, the more predictable points accrual becomes |
| Order update frequency | How often you move or reprice orders per hour or per day | A rising frequency is a sign of noise and losing the |
| Fill risk | How often orders get filled and you transition into |
Frequent fills mean farming is turning into trading the event outcome |
| Order book depth | The volume of orders near the best levels | Low depth increases the chance of being pushed out of the |
| Program limits | Constraints on order count and minimum sizes | They determine which approaches make sense in the first place |
If points aren’t growing,
start with the simplest check—
reduce the number of orders,
lower how often you move them,
and let one order
stay in the
Metrics are your efficiency filter.
If time in
⚖️ Points and expectations: how to align participation with reality
One of the most common sources of disappointment is unrealistic expectations around points. It’s important to understand upfront what role they actually play in the system.
Reality check: points are an internal program unit. Even if a token appears in the future, conversion terms, timelines, and distribution ratios may change—or may not exist at all.
Many participants automatically carry over expectations from Telegram games and past headline airdrops into every new points mechanism. With Predict.fun, that’s especially risky: the platform remains a prediction market where orders can fill, meaning participation is always tied to real market risk.
A workable mindset: treat points as a side effect of correct participation— a bonus for discipline and understanding the mechanics, not as a promise of future returns.
Points are most useful when your expectations are minimal. If farming stays manageable and decisions aren’t made in anticipation of a “guaranteed reward,” participation becomes calmer and noticeably safer.
🆚 Predict.fun vs Telegram games: different genres under the same “points” label
On the surface, the mechanics may look similar, but the participation logic is fundamentally different. Predict.fun evaluates market contribution, while Telegram games track user activity.
How points work across different formats
| Criterion | Predict.fun | Telegram games |
|---|---|---|
| Product type | Order book-based prediction market | Game and social mechanics |
| Core participation | Placing orders and managing probabilities | Completing tasks and staying active |
| Source of risk | Order fills and the |
Usually no direct market risk |
| What the system measures | Liquidity, time-in-book, snapshots | Clicks, tasks, retention, referrals |
| Typical mistake | Over-adjusting orders and losing the |
Expecting a large reward without understanding conversion |
| Key requirement | Discipline and risk control | Consistent activity |
Important: Predict.fun isn’t an “advanced version” of Telegram games. It’s a different participation format, where points accompany market activity rather than replace it.
If you’re comfortable with risk control, working with orders, and calm discipline, Predict.fun fits that logic. If your goal is activity without market decisions, Telegram games will feel closer. These models don’t compete— they serve different expectations.
✅ Predict.fun strengths and limitations: where it shines and where caution is needed
Predict.fun offers transparent market mechanics, but requires an intentional approach. Understanding this balance early matters, so points farming doesn’t turn into a source of uncontrolled risk.
✅ Strengths
- The price reflects event probability, not artificial game activity
- Farming is built on clear order book rules you can analyze
- Limits and minimum requirements encourage discipline and reduce noise
⚠️ Key limitations
- Order fills automatically shift farming into a market position
- Points accrual terms can change without a long transition period
- Wallet interaction requires basic wallet hygiene
Basic security hygiene: a checklist for every action
These rules help you keep risk under control and avoid turning points farming into a wallet problem. Use this list as your personal pre-action routine.
What you always verify
- Verify the domain and referral source before connecting your wallet
- Confirm the active network in your wallet before signing
- Read what you’re signing instead of approving blindly
- Monitor granted permissions (
approve )
What you consciously avoid
- Sharing a seed phrase or private data in any form
- Placing orders without a predefined risk limit
- Farming points at the cost of an uncontrolled position
- Concentrating your entire deposit in a single market
If you’re unsure, come back to this list before your next action.
Predict.fun fits users who value transparent market logic and are willing to stay disciplined. Its strength is control and rule predictability; the main limitation is the quiet shift from farming to a full position. Recognizing that boundary makes participation significantly calmer and safer.
❓ FAQ: questions about points farming on Predict.fun
Short, practical answers to the questions that most often confuse beginners and prevent consistent farming.
Are points credited for any order?
Usually not. Only orders that stay in the order book
long enough
and occupy the top levels
(for example,
Why is the 5-minute rule so critical?
Frequent moves reset the accumulated time. Your order can sit close to the price constantly, but fail the duration requirement, which means points aren’t credited.
What’s the most expensive beginner mistake?
Trying to control everything at once:
many markets, many orders,
and constant reshuffling.
In this setup, orders get filled more often,
and farming quietly turns
into a
If an order fills, does farming continue?
After a fill, you’re holding a
Are there fees and limits?
Yes. Fees, order count limits, and minimum sizes depend on the platform version and the current program period. You should verify these terms separately.
What is the safest farming style?
Conservative:
one market,
Do points guarantee a future token?
No. Points are an internal participation metric. Any future rewards, if they appear, depend on the team’s decisions and program terms.
Where can I find the latest rules?
In the official Predict.fun documentation and the project’s official announcements. That’s where changes to terms and mechanics appear first.
Use this FAQ as a checkpoint before acting. If a rule feels unclear, it’s better to pause and verify than to fix a mistake later.
🧾 What to understand about points farming on Predict.fun
The conclusion is simple: points farming here isn’t a speed game— it’s disciplined order book work with controlled risk.
Predict.fun is fundamentally different from most points programs. Here, points are accrued for real market participation: placing limit orders, adding order book depth, and spending time in the top levels. This makes farming more technical, but also more controllable.
At the same time,
this creates the main constraint.
Any limit order
can be filled,
and at that moment farming
becomes a
What to take with you:
effective points farming is built
on discipline, not speed.
Keep orders in the