Defi future picks

Screening Filters

1. Market Cap ≥ 100,000,000

   • Purpose: Focus on more established, sizable DeFi-related assets instead of tiny, highly speculative projects.
   • Rationale: In the DeFi space there are many very small tokens and companies with extreme risk and low survivability. A minimum market cap of $100M helps:
     • Filter out ill‑defined or very early‑stage projects that can disappear or be delisted easily.
     • Keep names that have attracted a meaningful amount of capital and community/institutional attention, which is more consistent with “future investment picks” rather than pure gambles.

2. 24h Turnover ≥ 2,000,000

   • Purpose: Ensure strong liquidity so positions can be entered and exited without major slippage.
   • Rationale: DeFi‑related assets can have wild intraday moves, especially if liquidity is thin. Requiring at least $2M traded in the last 24 hours helps:
     • Reduce the chance of getting stuck in an illiquid name.
     • Improve price discovery (prices better reflect available information).
     • Make the results more practical for real-world investing rather than purely theoretical picks.

3. One-Month Rise Probability ≥ 55%

   • Purpose: Tilt the list toward assets that statistical or machine‑learning models estimate have a better-than-even chance of rising over the next month.
   • Rationale: The user asked for “future investment picks” in DeFi, which is inherently a forward‑looking request. This filter:
     • Uses model-based probabilities to rank candidates on likelihood of near‑term appreciation.
     • Sets the bar above 50% (a coin flip), so we’re not just listing random DeFi names but those with a modest statistical edge in their favor.

4. One-Month Predicted Return ≥ 2%

   • Purpose: Ensure not only a higher probability of rising, but also a meaningful expected upside over the next month.
   • Rationale: Some assets might have a high chance of going up, but only by a negligible amount. Requiring a predicted return of at least +2%:
     • Screens for candidates where the model sees a tangible upside, consistent with “investment picks,” not just stability.
     • Combines with the rise probability filter to favor names that look attractive both in terms of odds and magnitude of expected move.

Why Results Match:

• The filters collectively focus on established, liquid DeFi-related assets, which are more realistic and investable candidates than tiny, illiquid tokens.
• By layering probability of price increase and minimum expected return, the screener aligns with the user’s desire for forward-looking opportunities in the DeFi sector, while still grounding the search in liquidity and size constraints that make the picks more practical and somewhat less speculative.