Filter Setups

A filter is a stack of components. Different combinations produce different shapes. Four canonical setups cover the common starting points: pick one, build it, run it on paper, and iterate.

The setups are not exclusive. Most experienced users start with Setup 1 or 2 and end up at the Hybrid (Setup 3) after a few weeks of iteration. The Specialist (Setup 4) is a constraint that can be layered on top of any of the others.

For component-level field reference, see Filters. For the full paper-trading iteration loop, see Quick Start: Paper Trading.

Setup 1: Multi-Trader Whitelist

You handpick the traders you want to follow. The Trader Whitelist component bypasses the trader-side criteria gate: a whitelisted trader passes regardless of attribute thresholds. If their buy also passes the market and trade gates (or those gates are open), the trade matches.

Mechanics: Trader Whitelist populated. Trader Criteria removed (or left empty). Market and Trade Criteria optional.

Build steps

1. Open the Traders tab. Sort by Sharpe Ratio, Sortino, Profit Factor, or Trader Score.
2. Click each candidate to open their profile. Inspect the equity curve for steady-up shape vs lottery-spike. Look at trade-distribution patterns: are wins spread across markets, or did one bet do all the work.
3. Open the Filters tab and click the + button.
4. Remove the Trader Criteria component using the X on the component header.
5. From the Add Component dropdown, add Trader Whitelist.
6. Search by name or wallet address and add each trader.
7. Optionally add Market Criteria or Trade Criteria to gate even whitelisted traders by market attributes (volume, liquidity, days remaining) or trade size.
8. Click Save.

Sample configuration

Tradeoffs

• Pro: Concentrated exposure to operators you trust. The work happens at selection time, not in the filter logic.
• Con: Concentrated risk. A whitelist of five traders is a portfolio of five strategies; if three go cold simultaneously, the automation goes cold. There is no diversification beneath the picks.

Setup 2: Cohort Filter

You define a population by attribute thresholds. Anyone whose lifetime stats clear all the bars matches automatically.

Mechanics: Trader Criteria + Market Criteria + Trade Criteria, all populated. No whitelist.

Build steps

1. Open the Filters tab and click the + button.
2. In Trader Criteria, set min and/or max thresholds on the attributes that matter. See Filters → Trader Criteria for every field.
3. In Market Criteria, set guardrails on market quality: Volume min, Liquidity min, Days Remaining min and max.
4. In Trade Criteria, set a Trade Size minimum to skip dust trades. Optionally constrain the entry price range.
5. Click Estimate coverage to confirm the filter matches a healthy population. Target 500 to 2,000 traders for a starter; under 200 is overfit, over 3,000 is too loose.
6. Click Save.

Sample starter recipe

For the full step-by-step including reading the live estimate, attaching a paper automation, and tuning via analytics, see Quick Start: Paper Trading.

Tradeoffs

• Pro: Diversified across many traders. Less concentration risk on any individual operator. New qualifying traders are auto-enrolled as their stats cross the thresholds.
• Con: Loose criteria can dilute edge below fees and slippage. Tight criteria can starve the automation of trades. The Hybrid (Setup 3) is the answer to both.

Setup 3: Hybrid

A Cohort filter that has been iterated on, layered with a Trader Whitelist for high-conviction operators below the criteria threshold and Trader / Market Blacklists for known leaks. Most experienced users arrive here after running Setup 1 or 2 for a few weeks and reading the analytics breakdowns.

Mechanics: Trader Criteria + Trader Whitelist (boost) + Trader Blacklist (guardrail) + Market Blacklist (often with tag-level exclusions).

Build steps

These steps assume a paper automation has been running on a Setup 2 (Cohort) filter for at least a week and has accumulated 50+ closed positions.

1. Open the automation’s Analytics tab.
2. Set the Performance Breakdown dimension to By Trader. Sort by Total PnL ascending. Note the underperformers with high Trades count: they are dragging the cohort. In the filter editor, add them to Trader Blacklist.
3. Sort the same breakdown descending. Note the high-conviction performers carrying the PnL. If any have lifetime stats that wouldn’t pass your criteria thresholds (low total volume, low total trades), add them to Trader Whitelist to guarantee they continue to match even if their stats remain below threshold.
4. Switch the breakdown to By Market Tag. Sort by Total PnL ascending. Identify categories that consistently bleed (e.g., high-variance esports markets where general-purpose traders have no domain edge). In the filter editor, add the category tag to Market Blacklist. The market blacklist accepts both specific markets and tags; a tag entry excludes every market carrying that tag.
5. Click Save. The live automation picks up the new criteria on the next matching trade.
6. Hold the new shape for another 50 to 100 closed positions before iterating again. Changing too frequently turns the feedback loop into noise.

Tradeoffs

• Pro: Combines the diversification of a cohort with the precision of handpicked overrides. Lets you fix specific leaks without rebuilding the filter from scratch.
• Con: Iterative. Only useful after the analytics breakdowns have a meaningful sample. Resist the temptation to tune every day.

Setup 4: Specialist

You restrict the cohort to one or two market categories where you have domain edge. This is a constraint that can be applied on top of any of the other setups: a specialist whitelist (Setup 1 + tag restriction), a specialist cohort (Setup 2 + tag restriction), or a specialist hybrid.

Mechanics: Market Criteria → Tags populated with one or two category tags. Tags use OR logic: a market matches if it carries any of the selected tags.

Build steps

1. Build any of Setups 1, 2, or 3 as your base.
2. In Market Criteria, click into the Tags field.
3. Select the category tags you want to restrict to. Common choices: Sports, Crypto, Politics, Macro, US Elections. A market carrying any one of those tags will pass.
4. Click Save.

To exclude a category instead of restricting to one, use Market Blacklist with a tag entry. Blacklisted tags are excluded from matches regardless of other criteria.

Tradeoffs

• Pro: Signal density. Every trade you copy is in a market type you understand; every loss you take is one you can reason about and learn from. Good fit for users with strong domain bias (sports, crypto, politics).
• Con: Opportunity cost. Capital cannot follow a perfectly good trader into a category you have walled off. For users without a strong domain view, this is probably the wrong starting shape; start with Setup 2 instead.

How to choose

In practice, most users start with Setup 2, run it on paper for two to three weeks, then evolve toward Setup 3 by acting on what the Analytics breakdowns reveal.

Iterating across setups

The four setups are starting points; the real work is the iteration. The full feedback loop (paper automation, trade-flow check, analytics breakdowns, whitelist/blacklist tightening) is documented in Quick Start: Paper Trading.

A few rules of thumb:

• Hold each filter version for ~50 to 100 closed positions before judging. Changing too often turns the loop into noise; you can’t tell whether the last edit helped or hurt.
• Widen and narrow in small steps. A filter that goes from 50 matches a week to 500 may have lost its edge entirely while aggregate PnL appears unchanged. Measure profitability per trade, not just in aggregate.
• Paper before real. Every setup should run on paper for at least two weeks before being promoted to a Real Copy Trade automation. The UI does not enforce this; a misconfigured real automation burns capital fast.

Cross-references

• Filters: full component reference. Every field, combine logic, validation rules.
• Quick Start: Paper Trading: the eight-step iteration loop.
• Automations: connecting a filter to a paper or real copy-trade automation.
• Real Copy Trading Setup: wallet wiring and access flow for real trading.