FIGI
FREEDOM INTERNET GROP INC
stock OTC

Security identity is another major issue. I am explicitly separating security identity from ticker text because ticker changes, mergers and identifier transitions can otherwise create artificial exits and entries. What identifier hierarchy have you found reliable for historical index membership—permanent vendor IDs, CUSIP, ISIN, FIGI, RIC, or a combination? And when a ticker or identifier changes, what evidence would you require before concluding that economic/security identity continued rather than treating it as a new constituent?

Security identity is another major issue. I am explicitly separating security identity from ticker text because ticker changes, mergers and identifier transitions can otherwise create artificial exits and entries. What identifier hierarchy have you found reliable for historical index membership—permanent vendor IDs, CUSIP, ISIN, FIGI, RIC, or a combination? And when a ticker or identifier changes, what evidence would you require before concluding that economic/security identity continued rather than treating it as a new constituent?

### 6. ETF holdings are especially interesting
You called them “semi-independent,” which sounds right.
But there is a subtle problem:
If an ETF tracks the S&P 500, its holdings are not an independent definition of the index.
However, if we observe:
T-1 ETF holding = A
T ETF holding = B
S&P says A→B effective before open T
then the ETF provides evidence that the transition was actually implemented.
So I would classify it as something like:
INDEX_MEMBERSHIP authority: NO
IMPLEMENTATION_CORROBORATION: YES
Would you agree?
And would you consider multiple ETF sponsors useful here?
For example:
- State Street SPY
- BlackRock IVV
- Vanguard VOO
If all three independently show the same transition, does that meaningfully strengthen the evidence, or do you still regard them as largely downstream of the same S&P source?
---
### 7. Closing-auction volume — I want to challenge this one
You mentioned closing-auction volume spikes as evidence that index funds actually traded.
Interesting idea, but I’m not convinced it is sufficient.
A volume spike on T-1/T could be caused by many things unrelated to the S&P 500 transition.
Would you require something like:
candidate transition
+
abnormal closing volume
+
price/auction behavior
+
ETF holdings transition
+
official effective date
before treating it as implementation corroboration?
Or do you think auction-volume evidence can independently establish anything stronger?
---
### 8. Corporate-action timestamping
Your suggestion to tag every deletion with the triggering corporate event is exactly the direction I’m moving toward.
But I want to distinguish at least:
EVENT_TIME
when the corporate action legally/economically occurred
ANNOUNCEMENT_TIME
when it was announced
INDEX_EFFECTIVE_TIME
when S&P actually changed the index
MARKET_EFFECTIVE_TIME
when the new constituent could actually trade as an index constituent
OBSERVATION_TIME
when our data source first recorded it
These can all differ.
Do you think this is the correct event model?
And for something like a merger/delisting/spin-off, what would you use as the primary timestamp authority for each one?
---
### 9. Cymetica / EventTrader
You mentioned Cymetica’s EventTrader.
Can you be more specific about what you have actually seen from it?
Does it provide:
- event timestamp
- event type
- security identifier
- announcement timestamp
- effective timestamp
- source document
- original vs corrected event
- or merely a normalized corporate-action calendar?
And most importantly:
Is its historical data point-in-time frozen, or is it a continuously maintained/revised historical database?
I don’t need marketing claims here.
I’m interested in the exact data semantics.
---
### 10. The September question
September is not actually the only issue in my data.
That is one of the interesting findings.
One source has a coverage gap beginning in August, while another full-window daily source covers the entire research window but has a small number of disagreements.
The full-window source currently has:
127/127 historical dates covered
but:
120 exact set matches
and:
7 raw ticker-set mismatches.
The seven are not all the same type of problem.
Two are clearly ticker-identity transitions:
- BK → BNY
- SATS → ECHO
Several others appear to be source-update/effective-date lag around events such as:
- FDXF / EPAM
- HONA
- FERG / EA
The important point is that my validator deliberately does NOT silently normalize these into MATCH.
A raw ticker-set difference remains:
MISMATCH
even if forensic analysis later explains the difference.
That is intentional because I don’t want the validator itself to “fix” a source until we’ve independently established why the difference exists.
So the current state is approximately:
formal PIT membership gate: NOT ADMITTED
but
forensic evidence: no currently unexplained contradiction identified in those seven cases.
Would you consider that the correct interpretation?
---
### 11. One more thing I’d really like your opinion on
If you were designing this from scratch, would you create separate evidence classes like:
A. MEMBERSHIP AUTHORITY
- S&P DJI
B. CORPORATE-ACTION AUTHORITY
- SEC/company primary filings
C. IMPLEMENTATION CORROBORATION
- SPY/IVV/VOO holdings
- index-fund trading/auction evidence
D. HISTORICAL RECONSTRUCTION
- GitHub / Wikipedia / public datasets
E. AGGREGATE CONSISTENCY
- index level
- divisor
- market-cap reconstruction
F. SECURITY IDENTITY
- CUSIP / ISIN / FIGI / issuer identifiers
and then explicitly prohibit evidence from one class from masquerading as evidence for another?
That is increasingly looking like the cleanest architecture to me.
I’m less interested in finding “another dataset that agrees with ours” now.
I’m interested in constructing an evidence system where each independent evidence class proves a different property, and where a failure in one layer cannot be hidden by agreement in another.
If you think that architecture is sound, I’d also be interested in hearing what evidence class you think I’m still missing.
And one final question:
If you were forced to choose only THREE additional investigations to perform next, which three would you choose, and exactly what would you try to prove or falsify with each one?
I’m looking specifically for investigations that can materially change the admission/rejection decision, not just produce more documentation.