AgenticInvestor

Libya Money Supply M2

Libya · Monthly series · EC-LY-M2

Latest, September 2026

209.66B LYD

+3.6% from August 2026

Open interactive chartLibya Money Supply M2 in the app

285.9B188.5B91.15BOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 214.08B LYD, with an 80% interval of 148.46B LYD to 285.90B LYD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 2026209.56B LYD200.44B LYD219.66B LYD
November 2026210.11B LYD193.42B LYD229.22B LYD
December 2026210.53B LYD187.58B LYD236.43B LYD
January 2027211.10B LYD184.10B LYD241.63B LYD
February 2027211.67B LYD181.97B LYD243.49B LYD
March 2027211.88B LYD168.46B LYD259.84B LYD
April 2027212.17B LYD168.81B LYD259.06B LYD
May 2027212.63B LYD167.08B LYD261.64B LYD
June 2027213.02B LYD162.73B LYD266.27B LYD
July 2027213.39B LYD169.70B LYD260.52B LYD
August 2027213.83B LYD163.53B LYD267.93B LYD
September 2027214.08B LYD148.46B LYD285.90B LYD

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

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
-1%Matches the no-change baseline over 12 tests (12 tests, 6 won)
Direction
56%No clear edge over a coin flip (81 of 144 calls right in 12 tests)
Turning points
5 of 56Anticipated some turns (56 turns in 12 tests, 0 without a turn)
Error vs baseline
1% higherError ratio 1.01; 1.00 is a tie.
Tests won
6 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
83%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 95% 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 2026209.66B LYD
August 2026202.43B LYD
July 2026205.77B LYD
June 2026210.14B LYD
May 2026224.13B LYD
April 2026210.54B LYD
March 2026217.86B LYD
February 2026219.89B LYD
January 2026215.04B LYD
December 2025204.49B LYD
November 2025196.29B LYD
October 2025187.15B LYD
September 2025191.95B LYD
August 2025161.90B LYD
July 2025167.60B LYD
June 2025168.72B LYD
May 2025169.93B LYD
April 2025165.00B LYD
March 2025158.19B LYD
February 2025153.97B LYD
January 2025160.00B LYD
December 2024159.64B LYD
November 2024168.83B LYD
October 2024163.14B LYD

Source

Data: public market data feeds.

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