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How to Use Danelfin for a Repeatable Research Process

Follow a repeatable Danelfin research process: check the data date, inspect score explanations, review Trade Ideas and configure documented portfolio emails.

  1. 1

    Define your research task and check access

    Create an account through the official site, then choose the relevant market or a specific stock. Before subscribing, check whether the required ranking, report, portfolio size or export is available on your plan. Do not buy a broader entitlement until you can name the feature you need.

  2. 2

    Check the score date before reading the number

    Danelfin scores use the previous market session’s data. Read the update date on the listing or stock page and record it with your notes. A recently loaded page does not mean its score was recalculated at the latest quote.

  3. 3

    Read the score alongside its explanation

    Use the global AI Score as the starting rating, then inspect Technical, Fundamental, Sentiment and Low Risk subscores plus the available Alpha Factors. These are different analytical views; the global score is not their average. Write down which evidence supports your thesis and which evidence contradicts it.

  4. 4

    Build a shortlist without assuming a trade

    Choose a market and inspect ranking filters available in your account. Narrow the research list using requirements you decided beforehand, such as liquidity and sector exposure. A short list should reduce research work, not bypass earnings, valuation or concentration checks.

  5. 5

    Inspect Trade Ideas and their historical sample

    Trade Ideas combine a current directional signal with qualifying historical performance. The documented 60% filter concerns past signals, not a guaranteed chance for the next one. Open the Track Record, check sample size and horizon, and compare gains and losses rather than relying only on the proportion of profitable observations.

  6. 6

    Configure the documented portfolio email

    Add the assets you want to follow under My Portfolios. In the user menu, open Email Preferences and enable My Portfolios Daily Email Alerts. The documented feature summarizes upgrades and downgrades; do not assume custom per-ticker thresholds or intraday execution alerts are available.

  7. 7

    Maintain a dated research log

    Record the original score, explanation, planned review horizon and decision, including candidates you reject. Review new alerts when they arrive and use a separate schedule for the investment thesis. If you change a rule during evaluation, log the change rather than retroactively rewriting the original test.

A separate chart-strategy workflow

Pineify offers a Danelfin-powered stock picker as well as a separate Pine Script coding workflow. Full stock-picker access requires the Advanced plan; check the displayed data date and current Pineify plan terms. The coding agent can help turn explicit chart rules into a Pine Script draft for validation in TradingView. A score feed is not automatically imported into that script, and a strategy backtest simulates orders rather than placing brokerage trades.

Reproducible evaluation exercise

Practice without placing an order: choose three covered stocks you already understand. For each, capture the data date, overall score, one supporting factor and one reason to reject the idea. Add them to a research portfolio and enable its daily email. Compare the next relevant email with the portfolio page, checking that the security and update dates match. If no email arrives, confirm the setting, account email and spam folder before contacting support. This exercise tests the research workflow; it reports no actual purchases or investment results.

Frequently asked questions

Does a high score tell me when to place an order?
No. It is a research rating. You still need an entry decision, position limits and an execution plan.
Are the subscores averaged to create the AI Score?
No. Danelfin says the global model uses information together, while subscores use separate information groups.
Does the Trade Ideas filter promise a 60% success chance?
No. It is a historical selection condition. Inspect the sample and outcome definition before using it as evidence.
Can I set an alert for any numeric score threshold?
The documented portfolio email covers upgrades and downgrades. Custom numerical thresholds are not established by the current help guide.
Does a Pine backtest validate historical Danelfin selection?
Only if the test has the correct point-in-time score data and selection rules. A chart strategy on a ticker chosen today does not establish how an earlier Danelfin-driven portfolio would have performed.

Official sources

Related pages

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