Guide

What each screen and tab in the application is, what data feeds it, what it shows and what can be concluded from it. The same explanations also open in a side panel from the help icon on each screen. All hit rates are measured against residual return; for a comparison against the actual price movement, see the

Summary

• Summary: The personal investment screen. At the top, the model's output for today in two sentences: whether there are stocks on the positive signal list, and whether there is a negative signal on the stocks in your portfolio.

Today

• Today: The starting screen for daily use. It summarises the signals produced by the latest pipeline run and gathers the stocks that need attention in two lists. There are no parameters; only the horizon is chosen.

News

• News: News from Turkey and the world that may affect the stock market: free news feeds, and the review the AI writes every evening after checking these news with its own web searches.

Auto Player

• Auto Player: Players that buy and sell on their own with the user's virtual budget. Each player runs three books with the same budget: rule only, rule + AI veto, and AI only; all are compared with buying and holding the BIST 100.

Stock

• Stock: The history of a single stock: what the system said each day and what happened next. It is the most detailed screen in the application. At the top is the tracking chart, below it four tabs.
• Stock · Signal history: All signals at the selected horizon and tiers, in table form with their realised outcomes.
• Stock · Model detail: The behaviour of C · Change detection over time in this stock, and the models' hit rate on this stock alone.
• Stock · Events: The earnings, KAP, index change, dividend and split events recorded for this stock.
• Stock · Factor series: The rolling betas and realised volatility used in computing the residual return.

Performance

• Performance: The screen that honestly shows which method works. Every rate is shown with its confidence interval and sample, against naive baselines, and against both residual and raw return. The tabs at the top choose the horizon.

Map

• Map: An exploration screen showing the structure of the market: which stocks move together, and how the signals are distributed over this structure. It has four tabs.
• Map · Fabric: A two-dimensional map of the stocks, its day-by-day animation with the selected model's signals, and the market regime.
• Map · W · Weighted wave: A wave model in which companies are placed as points with mass according to their size, connected to each other by springs through sector, shareholding, correlation and live link network links, and how much each company…
• Map · World: The open exchanges' companies and the strongest living links between them; links joining companies on different exchanges are drawn in a separate colour.
• Map · Link network: The live links between companies: which ones persist, which have just started, are strengthening, weakening or have ended; and a company's 1st, 2nd and 3rd level links.
• Map · Correlation: The raw and cleaned forms of the relationships the map rests on, side by side.
• Map · Shock simulator: Where a shock given to one stock reaches over the days, according to the propagation matrix learned by A · Graph diffusion.

Lab

• Lab: The advanced user area. Analysis runs are started here, all parameters are set only here, and the models' internal results are examined here.
• Lab · A · Graph diffusion: The test results of the user's fabric model: lagged relationships, Granger causality, sparse VAR(1) and graph dynamics.
• Lab · B · Cross-sectional ranking: The internal results of the model that answers the question "which stock will do better than the others".
• Lab · C · Change detection: The calibration of the detector that answers the question "is something happening right now", and its evaluation on real data.
• Lab · D · Consensus: The internal results of D · Consensus combining the three models: the acceptance rule, the distribution of the four states over time, and how similar the models are to each other.
• Lab · Comparison: A comparison of the four models and the four baselines in a single table, over the same period and with the same measures.

Settings

• Settings: The screen that manages the application's data and operation: price data, symbols, events, the daily pipeline and the database.
• Settings · Data: Fetching price data, editing the symbol list, the missing days report, and the company information that supplies the mass and link data of the propagation model.
• Settings · Events: The daily KAP disclosures, and the event records used to evaluate change detection against real events.
• Settings · Scheduler: The scheduled data jobs, the timestamped job log of every run, and running the daily pipeline by hand.
• Settings · AI: The ConsensusRoom partner connection for Multi LLM, the provider models and prices for users working with their own key, and the record of all AI calls.
• Settings · Notifications: The site owner's monthly AI budget, the notification e-mail settings, and the notifications for the administrator.
• Settings · System: The status of the database, table sizes, backups and data fetch logs.

Users

• Users: The user list, visible only to accounts with the administrator role. It appears in the menu only for administrators.

My account

• My account: Which route AI reviews are made through (off, your own Claude, OpenAI or Gemini key, or Multi LLM), its setup, your budget and all your spending.