Market Impact Engine
refreshing in 30s
Pipeline runninglast beat just now · up 56d 5h
0
stages overdue
0
stages failing 24h
1892 MB
database
133.9 GB
disk free

Run something

Everything here also runs on its own schedule — these buttons are for when you do not want to wait for it. A click queues the task; the pipeline picks it up within about a minute and the result appears in place, exactly as the terminal would have printed it.

Maintenance

Start with “Check LLM providers” when triage or analyze has gone quiet — withdrawn model ids are the usual cause.

Check LLM providers

Probes every configured model on a real task. Run this first when triage or analyze dies.

takes under a minute· uses quota· ran 55d ago
output
configured: groq, gemini, openrouter, ollama

provider     tier    model                                       latency  result
groq         cheap   qwen/qwen3.8-27b                             454ms  ok
groq         deep    openai/gpt-oss-120b                         1239ms  ok
gemini       cheap   gemini-flash-lite-latest                    1154ms  ok
gemini       deep    gemini-3.5-flash                            4458ms  ok
openrouter   cheap   nvidia/nemotron-3-super-120b-a12b:free        20ms  FAILED - openrouter rate limited (429)
openrouter   deep    nvidia/nemotron-3-super-120b-a12b:free       336ms  FAILED - openrouter rate limited (429)
ollama       cheap   gemma4:31b-cloud                            1929ms  ok
ollama       deep    gpt-oss:120b-cloud                          2575ms  ok

2 model(s) are not usable. Pick a replacement below and set it in .env, e.g.
  OPENROUTER_MODEL_CHEAP=<model id>
  OPENROUTER_MODEL_DEEP=<model id>

openrouter currently serves 22 usable model(s):
  deepseek/deepseek-v4-flash-0731:free
  thinkingmachines/inkling-small:free
  thinkingmachines/inkling:free
  nvidia/nemotron-3.5-lightning:free
  nvidia/nemotron-3-ultra-550b-a55b:free
  dots-studio/dots-3-note-preview:free
  inclusionai/ling-3.0-flash-vl:free
  nex-agi/nex-n2.5-mini:free
  nex-agi/nex-n2.5-pro:free
  inclusionai/ling-3.0-flash-sante:free
  inclusionai/ling-3.0-flash-fin:free
  qwen/qwen3.8-27b:free
  poolside/laguna-s-2.1:free
  poolside/laguna-xs-2.1:free
  google/gemma-4-26b-a4b-it:free
  google/gemma-4-31b-it:free
  nvidia/nemotron-3-super-120b-a12b:free
  cohere/north-mini-code:free
  nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free
  nvidia/nemotron-3.5-content-safety:free
  liquid/lfm-2.5-2.6b:free
  z-ai/glm-5.2:free

done in 12.2s

Re-run the backtests

Rebuilds the evidence behind the Screen page verdicts from the stored bars.

takes under a minute· ran 55d ago
output

market     strategy         rank        n  months   long-vs-univ    t   won   longDD    spread(net)    t     long  universe   bench
us         cross_sectional  mom        149    108      8.0%    2.0   59%   -19.4%          3.4%    0.9    31.2%   21.5%   14.8%
us         cross_sectional  composite  149    108      8.1%    2.1   57%   -17.1%          4.1%    1.0    31.4%   21.5%   14.8%
us         time_series      mom        201    108      0.6%    0.5   53%   -19.5%          4.6%    2.0    20.0%   19.3%   14.8%
india      cross_sectional  mom         97    108      1.4%    0.6   51%   -29.2%          1.9%    0.8    22.1%   20.4%   10.1%
india      cross_sectional  composite   97    108      0.4%    0.3   49%   -26.7%         -0.6%    0.3    20.9%   20.4%   10.1%
india      time_series      mom        108    108     -0.0%    0.1   56%   -25.4%          2.9%    1.2    19.6%   19.6%   10.1%
crypto     cross_sectional  mom         36     98    -41.4%   -0.1   46%   -87.0%        -81.9%   -0.2    53.2%  161.3%   32.3%
crypto     cross_sectional  composite   36     98    -52.6%   -1.2   45%   -84.2%        -90.8%   -1.3    24.0%  161.3%   32.3%
crypto     time_series      mom         37     98     14.4%    1.3   57%   -91.0%         43.3%    1.0   199.7%  161.9%   32.3%
commodity  cross_sectional  mom         20    108     -4.4%   -0.3   45%   -47.0%        -21.7%   -1.1     7.5%   12.5%   11.0%
commodity  cross_sectional  composite   20    108     -6.8%   -0.7   48%   -41.2%        -21.2%   -1.2     4.9%   12.5%   11.0%
commodity  time_series      mom         29    108     -1.7%   -0.4   52%   -34.4%         -0.8%    0.2     9.1%   10.9%   11.0%

long-vs-univ: the top quantile minus an equal-weight hold of the whole list - the edge from the RANKING, with no shorting.
              This is the number to read if you will not short. "won" is the share of months it was ahead.
spread(net):  the academic long-short factor return after 10bp/side costs. Needs a borrow; a drawdown near -100%
              means the short leg was squeezed and the strategy is not implementable unlevered.
t below 2 is not distinguishable from luck. The universe is today's constituents, so long-only and universe
figures carry survivorship bias; the long-vs-universe difference is far less affected, since both legs share it.

rank: composite is what the /screen page ORDERS BY (12-1, 6-1, 52w-high proximity, 200d trend);
      mom is 12-1 alone, the literature's factor and the reference the composite must justify itself
      against. Read the composite row for the ranking you are actually looking at on the page.

done in 2.8s

Audit the price primitives

Asserts session counts, fills and priced-in reads against real market history. 20 checks.

takes a minute or two· uses quota

Refresh price signals

Syncs whatever daily bars have gone stale and recomputes momentum for the screen.

takes seconds if fresh, ~7 minutes on a cold start· uses quota· ran 55d ago
output

total: 0 signal snapshots, 301 ranked (0 bars synced, 0 with too little history, 0 failed)

done in 0.0s

Re-download all price history

Ten years of bars for every name, from scratch. Only needed if the stored history is suspect.

takes several minutes, and it will draw rate limits· uses quota

Re-seed sources and graph

Reloads sources, instruments, the entity graph and the screen universe from data/seed.

takes a minute or two

Run a stage now

The scheduled pipeline stages, forced early. Safe to press; each one is the same pass the scheduler makes.

Fetch news now

Polls all 50 sources immediately instead of waiting for the next 2-minute pass.

takes up to 3 minutes· uses quota

Group stories into events

Drains the whole clustering backlog, rather than the 800 items a scheduled pass takes.

takes seconds to a few minutes

Score pending events

Materiality, novelty and surprise on everything waiting. About 90% is rejected here.

takes a minute or two· uses quota

Build causal chains

Spends the remaining daily analyze budget on the events that survived triage.

takes a few minutes· uses quota

Match names to instruments

Puts unresolved chain nodes through the hallucination gate against 15,700 real listings.

takes under a minute

Rank and open calls

Ranks scored chains and freezes predictions at the price and volatility of this instant.

takes under a minute

Send Telegram alerts

Pushes anything above the conviction threshold. Does nothing if Telegram is unconfigured.

takes seconds

Fill and grade calls

Fills due calls at the next traded price and grades them on excess return.

takes a minute or two· uses quota

Stages

Every scheduled pass is recorded, including the ones that found nothing to do — that is what separates an idle stage from a stopped one.

stageeverylast runtookp50 / max 24hruns 24hlast result
collect2m1m ago8,379ms5,392 / 184,946ms537polled=43 fetched=1246 inserted=3 failed=2
cluster2m2m ago2ms421 / 9,061ms512processed=0 joined=0 created=0
triage10m10m ago12,423ms8,001 / 100,100ms135scored=20 passed=0 calls=1 expired=0
analyze15m4m ago6ms8 / 794,146ms91attempted=0 chains=0 nodes=0 order2plus=0 expired=0 deferred=0
resolve15m4m ago22ms18 / 14,505ms91chains=0 resolved=0 rejected=0
score15m4m ago1ms2 / 116,359ms91chains=0 predictions=0 skipped=0
deliver5m4m ago0ms0 / 1ms245sent=0 skipped=0
verify10m9m ago241,008ms129,280 / 733,935ms137checked=13 hits=8 misses=5 waiting=376
signals10m10m ago10,367ms5,005 / 96,629ms135attempted=12 synced=12 bars=275 computed=12 tooShort=0 failed=0 ranked=246
models720m6h ago35,859ms8,478 / 35,859ms2lines=30 tail= glm-5.2:cloud
backtest1440m6h ago4,139ms4,139 / 4,139ms1lines=22 tail= against. Read the composite row for the ranking you are actually looking at on the page.
calendar10080m7h ago4,334ms4,334 / 4,334ms1lines=25 tail=priced-in reads the last trade at or before the call, never a later one

Host

load average1.87 1.81 1.62 (4 cores)
memory14.2 of 23.4 GB used (61%)
disk59 of 193 GB used (31%)
host uptime201d 1h
ingest rate4,224 items/day
database size1892 MB

Largest tables

raw_items791 MB
daily_bars511 MB
events442 MB
triage53 MB
price_snapshots12 MB
prediction_outcomes10 MB

Recent failures (0 in the last 24h)

No stage has thrown in the last 24 hours.