Executive summary

Solana continues to show a bifurcated rhythm: strong developer throughput in core DeFi tooling (DEXes, liquid staking adapters and on-chain oracles) while token rotation moves between mid-cap DeFi projects and ecosystem-native infra. This month's highlights: SOL network-level stability and validator upgrades, RAY's renewed liquidity growth, and MNGO’s DEX-driven momentum. We also break down signals you can use with AstraSol to prioritize exposure and protect staked capital.

Top projects this month — deep dives

Monthly snapshot & on-chain signals

These selections use AstraSol’s composite signals: developer activity, liquidity deltas, on-chain accumulation and short-term volume — combined into a momentum score that helps prioritize risk-adjusted exposure.

Developer activity & partnerships

Developer commits and public repo activity remain a leading indicator. This month, several infra libraries and cross-chain bridges announced audit completions and integration tests — a meaningful de-risking step. Projects that show sustained commit velocity and audited bridge proofs should be prioritized for longer-term allocation.

Staking & validator updates — what stakers should know

Validator commission adjustments and epoch-level participation influence net APR. Frequent rebalancing across diverse validators preserves yield while limiting exposure to single-operator events. Use AstraSol’s stake optimizer to automate low-cost rebalancing windows that align with cross-chain unlock schedules.

Practical playbook — how to act this month

1. Signal confirmation: require at least 2 high-confidence signals (dev activity + liquidity inflow) before deploying capital.
2. Stagger entries: use time-weighted buys to reduce impact on liquidity-thin pools.
3. Stake excess capital: stake surplus SOL via AstraSol to earn yield while awaiting re-entry windows.
4. Protect with liquidity bands: use on-chain liquidity profiles to set realistic stop and take-profit levels.

Dataset & visualization examples

Below is a simplified sample of the Solana ecosystem dataset fields AstraSol uses to feed models and power charts. You can download the JSON to test locally or feed it to backtests.

[
    {
        "token": "SOL",
        "7d_volume_delta": 2.79999999999999982236431605997495353221893310546875,
        "non_exchange_accum": 25000,
        "dex_liquidity_change": 0.179999999999999993338661852249060757458209991455078125,
        "dev_activity": 312,
        "momentum_score": 0.7199999999999999733546474089962430298328399658203125
    },
    {
        "token": "RAY",
        "7d_volume_delta": 3.600000000000000088817841970012523233890533447265625,
        "non_exchange_accum": 8200,
        "dex_liquidity_change": 0.419999999999999984456877655247808434069156646728515625,
        "dev_activity": 85,
        "momentum_score": 0.68000000000000004884981308350688777863979339599609375
    },
    {
        "token": "MNGO",
        "7d_volume_delta": 6.0999999999999996447286321199499070644378662109375,
        "non_exchange_accum": 14000,
        "dex_liquidity_change": 0.5500000000000000444089209850062616169452667236328125,
        "dev_activity": 28,
        "momentum_score": 0.810000000000000053290705182007513940334320068359375
    },
    {
        "token": "SRM",
        "7d_volume_delta": 1.399999999999999911182158029987476766109466552734375,
        "non_exchange_accum": 4200,
        "dex_liquidity_change": -0.0200000000000000004163336342344337026588618755340576171875,
        "dev_activity": 20,
        "momentum_score": 0.320000000000000006661338147750939242541790008544921875
    }
]

Charts combine sparklines, liquidity heatmaps and developer activity overlays — visual layers that elevate both model and human prioritization.

Risks & governance

• Bridge risk: prefer bridges with fraud proofs or cryptographic verification.
• Validator concentration: avoid concentration in a single operator.
• Model overfitting: diversify signal sets and keep human oversight on automated flows.

FAQ