AgenticInvestor

Philippines Money Supply M1

Philippines · Monthly series · EC-PH-M1

Latest, September 2026

7.96T PHP

+0.3% from August 2026

Open interactive chartPhilippines Money Supply M1 in the app

8.922T5.909T2.896TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 8.54T PHP, with an 80% interval of 8.18T PHP to 8.92T PHP.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20268.04T PHP7.94T PHP8.15T PHP
November 20268.12T PHP8.00T PHP8.26T PHP
December 20268.42T PHP8.29T PHP8.57T PHP
January 20278.29T PHP8.12T PHP8.48T PHP
February 20278.31T PHP8.06T PHP8.57T PHP
March 20278.43T PHP8.26T PHP8.61T PHP
April 20278.45T PHP8.29T PHP8.64T PHP
May 20278.48T PHP8.30T PHP8.68T PHP
June 20278.52T PHP8.30T PHP8.77T PHP
July 20278.48T PHP8.17T PHP8.81T PHP
August 20278.48T PHP8.18T PHP8.80T PHP
September 20278.54T PHP8.18T PHP8.92T PHP

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+70%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
99%Beats a coin flip (143 of 144 calls right in 12 tests)
Turning points
32 of 56Anticipated most turns (56 turns in 12 tests, 0 without a turn)
Error vs baseline
70% lowerError ratio 0.30; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
78%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 97% of the 119 earlier readings since October 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
September 20267.96T PHP
August 20267.94T PHP
July 20267.90T PHP
June 20267.99T PHP
May 20267.98T PHP
April 20267.91T PHP
March 20267.98T PHP
February 20267.69T PHP
January 20267.58T PHP
December 20257.92T PHP
November 20257.55T PHP
October 20257.50T PHP
September 20257.48T PHP
August 20257.31T PHP
July 20257.35T PHP
June 20257.40T PHP
May 20257.29T PHP
April 20257.29T PHP
March 20257.29T PHP
February 20257.08T PHP
January 20257.15T PHP
December 20247.39T PHP
November 20247.06T PHP
October 20246.92T PHP

Source

Data: public market data feeds.

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