Pre-launch· Token not live yet — no rewards or treasury until launchWhat this means
Activity

Everything TRAIN does, in order

Training runs, benchmarks, deployments, dataset updates, data-provider failures — and, once the token exists, rewards and compute purchases. Everything here really happened.
EverythingMoneyTrainingBenchmarks & deploysData
  1. 06 Oct 00:45
    Training completed: TRAIN v0.25
    00:02:55 · trained on 9081 examples · $0 compute cost
  2. 06 Oct 00:42
    Training started: TRAIN v0.25
    Solana Launch Dataset v17 · decision-tree ensemble · TRAIN training server (CPU)
  3. 06 Oct 00:42
    TRAIN v0.25 queued
    Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.
  4. 05 Oct 22:47
    Training completed: TRAIN v0.24
    00:06:25 · trained on 7875 examples · $0 compute cost
  5. 05 Oct 22:41
    Training started: TRAIN v0.24
    Solana Launch Dataset v16 · decision-tree ensemble · TRAIN training server
  6. 05 Oct 22:41
    TRAIN v0.24 queued
    Adds global fees paid : total fees and Jito tips, fees per minute, fees relative to volume, transactions per paying wallet and failed-transaction share — then lets automatic discovery choose which change-signals to add on top. Retrained on the newest data.
  7. 05 Oct 22:40
    Training completed: TRAIN v0.23
    00:02:25 · trained on 8590 examples · $0 compute cost
  8. 05 Oct 22:38
    Training started: TRAIN v0.23
    Solana Launch Dataset v15 · decision-tree ensemble · TRAIN training server
  9. 05 Oct 22:38
    TRAIN v0.23 queued
    Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.
  10. 05 Oct 21:24
    Training completed: TRAIN v0.22
    00:02:13 · trained on 8141 examples · $0 compute cost
  11. 05 Oct 21:22
    Training started: TRAIN v0.22
    Solana Launch Dataset v14 · decision-tree ensemble · TRAIN training server
  12. 05 Oct 21:22
    TRAIN v0.22 queued
    Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.
  13. 05 Oct 19:23
    Training completed: TRAIN v0.21
    00:02:20 · trained on 1808 examples · $0 compute cost
  14. 05 Oct 19:21
    Training started: TRAIN v0.21
    Solana Launch Dataset v13 · decision-tree ensemble · TRAIN training server
  15. 05 Oct 19:21
    TRAIN v0.21 queued
    Adds global fees paid : total fees and Jito tips, fees per minute, fees relative to volume, transactions per paying wallet and failed-transaction share — then lets automatic discovery choose which change-signals to add on top.
  16. 05 Oct 17:24
    Training completed: TRAIN v0.20
    00:03:04 · trained on 6421 examples · $0 compute cost
  17. 05 Oct 17:21
    Training started: TRAIN v0.20
    Solana Launch Dataset v12 · decision-tree ensemble · TRAIN training server
  18. 05 Oct 17:21
    TRAIN v0.20 queued
    Automatic signal discovery: TRAIN generated candidate signals (how every measure changed since the previous snapshot), tested each on held-out folds of the training launches, and kept only the ones that improved its predictions.
  19. 05 Oct 17:21
    Training completed: TRAIN v0.19
    00:03:24 · trained on 6411 examples · $0 compute cost
  20. 05 Oct 17:17
    Training started: TRAIN v0.19
    Solana Launch Dataset v11 · decision-tree ensemble · TRAIN training server
  21. 05 Oct 17:17
    TRAIN v0.19 queued
    Same signals with deeper trees, to learn interactions such as 'bundle still holding while snipers exit'.
  22. 05 Oct 17:09
    Training completed: TRAIN v0.18
    00:01:39 · trained on 6361 examples · $0 compute cost
  23. 05 Oct 17:07
    Training started: TRAIN v0.18
    Solana Launch Dataset v10 · decision-tree ensemble · TRAIN training server
  24. 05 Oct 17:07
    TRAIN v0.18 queued
    Adds launch structure — bundled buys in the creation slot, snipers in the first 10 seconds and how much they've sold, first-minute buying, organic-volume checks (volume per wallet, back-and-forth wallets, tiny bump trades), KOL buys, and the dev's launches across all pump.fun coins.
  25. 05 Oct 15:12
    Training completed: TRAIN v0.17
    00:00:04 · trained on 3502 examples · $0 compute cost
  26. 05 Oct 15:12
    Training started: TRAIN v0.17
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  27. 05 Oct 15:12
    TRAIN v0.17 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  28. 05 Oct 14:01
    Training completed: TRAIN v0.16
    00:00:04 · trained on 3502 examples · $0 compute cost
  29. 05 Oct 14:01
    Training started: TRAIN v0.16
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  30. 05 Oct 14:01
    TRAIN v0.16 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  31. 05 Oct 13:00
    Training completed: TRAIN v0.15
    00:00:04 · trained on 3502 examples · $0 compute cost
  32. 05 Oct 13:00
    Training started: TRAIN v0.15
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  33. 05 Oct 13:00
    TRAIN v0.15 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  34. 05 Oct 12:48
    Training completed: TRAIN v0.14
    00:00:04 · trained on 3502 examples · $0 compute cost
  35. 05 Oct 12:48
    Training started: TRAIN v0.14
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  36. 05 Oct 12:48
    TRAIN v0.14 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  37. 05 Oct 11:49
    Training completed: TRAIN v0.13
    00:00:04 · trained on 3502 examples · $0 compute cost
  38. 05 Oct 11:49
    Training started: TRAIN v0.13
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  39. 05 Oct 11:49
    TRAIN v0.13 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  40. 05 Oct 11:00
    Training completed: TRAIN v0.12
    00:00:04 · trained on 3502 examples · $0 compute cost
  41. 05 Oct 11:00
    Training started: TRAIN v0.12
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  42. 05 Oct 11:00
    TRAIN v0.12 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  43. 05 Oct 10:24
    Training completed: TRAIN v0.11
    00:00:04 · trained on 3502 examples · $0 compute cost
  44. 05 Oct 10:24
    Training started: TRAIN v0.11
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  45. 05 Oct 10:24
    TRAIN v0.11 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  46. 05 Oct 09:48
    Training completed: TRAIN v0.10
    00:00:04 · trained on 3502 examples · $0 compute cost
  47. 05 Oct 09:48
    Training started: TRAIN v0.10
    Solana Launch Dataset v9 · decision-tree ensemble · TRAIN training server
  48. 05 Oct 09:48
    TRAIN v0.10 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  49. 05 Oct 09:13
    Training completed: TRAIN v0.09
    00:00:13 · trained on 3332 examples · $0 compute cost
  50. 05 Oct 09:12
    Training started: TRAIN v0.09
    Solana Launch Dataset v8 · decision-tree ensemble · TRAIN training server
  51. 05 Oct 09:12
    TRAIN v0.09 queued
    Same configuration as v0.05 (best so far on the headline benchmark), retrained on the newest dataset.
  52. 05 Oct 08:25
    Training completed: TRAIN v0.08
    00:00:11 · trained on 2752 examples · $0 compute cost
  53. 05 Oct 08:25
    Training started: TRAIN v0.08
    Solana Launch Dataset v7 · decision-tree ensemble · TRAIN training server
  54. 05 Oct 08:25
    TRAIN v0.08 queued
    Same configuration as v0.05 (best so far on the headline benchmark), retrained on the newest dataset.
  55. 05 Oct 07:12
    Training completed: TRAIN v0.07
    00:00:03 · trained on 2187 examples · $0 compute cost
  56. 05 Oct 07:12
    Training started: TRAIN v0.07
    Solana Launch Dataset v6 · decision-tree ensemble · TRAIN training server
  57. 05 Oct 07:12
    TRAIN v0.07 queued
    Same configuration as v0.04 (best so far on the headline benchmark), retrained on the newest dataset.
  58. 05 Oct 06:01
    Training completed: TRAIN v0.06
    00:00:03 · trained on 679 examples · $0 compute cost
  59. 05 Oct 06:00
    Training started: TRAIN v0.06
    Solana Launch Dataset v5 · decision-tree ensemble · TRAIN training server
  60. 05 Oct 06:00
    TRAIN v0.06 queued
    Adds the realized track record (inside TRAIN's sample, before the snapshot) of the wallets buying the launch — how many are known, profitable, losing or high-frequency.
  61. 05 Oct 05:12
    Training completed: TRAIN v0.05
    00:00:04 · trained on 1025 examples · $0 compute cost
  62. 05 Oct 05:12
    Training started: TRAIN v0.05
    Solana Launch Dataset v4 · decision-tree ensemble · TRAIN training server
  63. 05 Oct 05:12
    TRAIN v0.05 queued
    Deeper trees (depth 3), more of them (300) with a lower learning rate.
  64. 05 Oct 04:24
    Training completed: TRAIN v0.04
    00:00:01 · trained on 594 examples · $0 compute cost
  65. 05 Oct 04:24
    Training started: TRAIN v0.04
    Solana Launch Dataset v3 · decision-tree ensemble · TRAIN training server
  66. 05 Oct 04:24
    TRAIN v0.04 queued
    Switches to gradient-boosted trees (depth 2, 120 trees), which can learn thresholds and interactions a linear model cannot.
  67. 05 Oct 03:24
    Training completed: TRAIN v0.03
    00:00:00 · trained on 110 examples · $0 compute cost
  68. 05 Oct 03:24
    Training started: TRAIN v0.03
    Solana Launch Dataset v2 · linear model · TRAIN training server
  69. 05 Oct 03:24
    TRAIN v0.03 queued
    Adds trade-flow, holder-estimate, creator-history and social features (all 36 features in set f1).
  70. 05 Oct 02:56
    Training completed: TRAIN v0.02
    00:00:00 · trained on 60 examples · $0 compute cost
  71. 05 Oct 02:56
    Training started: TRAIN v0.02
    Solana Launch Dataset v1 · linear model · TRAIN training server
  72. 05 Oct 02:56
    TRAIN v0.02 queued
    First learned model: logistic regression on price and volume only (12 features).
  73. 05 Oct 02:55
    Training completed: TRAIN v0.01
    00:00:00 · trained on 60 examples · $0 compute cost
  74. 05 Oct 02:55
    Training started: TRAIN v0.01
    Solana Launch Dataset v1 · baseline (averages) · TRAIN training server
  75. 05 Oct 02:55
    TRAIN v0.01 queued
    Baseline. Predicts each outcome's historical base rate and ignores the token entirely. Every later version has to beat this to be worth anything.