PELATIHAN INDENTIFIKASI INDEKS SAHAM USA UNTUK MEMPREDIKSI FLUKTUASI IHSG: LINCOM ANALYSIS PADA NASABAH TYPE SWINGER RELIANCE SURAKARTA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Capital market practices in the type of stock instruments undergo a shift in the way of analysis. This is not in line with the theory of stock fundamental analysis which explains that fundamental factors become the main variable in determining stock investment decisions for the long term. Fundamental analysis of stocks takes into account various factors including company performance, macroeconomic analysis and the industrial sector. The fundamental variable of stock analysis is used as a consideration of the investment portfolio of the stock for the long term. Users of these variables are usually the owners of capital with the type of investor. Investor type is the owner of capital with the main purpose of buying shares by expecting stock valuations in the long run and dividends, not short-term capital gains. The need for the development of applied science of technical analysis and fundamental analysis of stock investors who have a form of trading activities on a daily basis generally only conduct transactions on the capital market using speculation from each investor. This of course in terms of education that novice stock investors do must have the same time in obtaining maximum income in the trading stock market This service is carried out on customers of PT Reliance Surakarta. There were 13 training participants, namely customers who became stock investors but did not trade every day for a short period of time. The service was held for 1 day. Expected outputs from the event are expected that after attending the training the participants are expected to be able to carry out fundamental and technical analysis of JCI fluctuations on a daily basisKeywords: Stock index, JCI Fluctuation Prediction, Swinger Type
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it