Question 1

How accurate are hedgewing.ai's machine-learning stock predictions?

Accepted Answer

hedgewing.ai publishes live ensemble accuracy per horizon on the Accuracy dashboard. Ensemble 1-day directional accuracy averages in the high 50s on large-cap US equities across full market cycles. Every prediction ships with a calibrated confidence interval. We do not hide underperformance.

Question 2

What deep-learning architectures power hedgewing.ai's stock predictions?

Accepted Answer

hedgewing.ai uses a four-model neural ensemble: LSTM with attention, GRU with skip connections, Temporal CNN in WaveNet style, and a Transformer encoder. Each model is trained on 45 engineered features spanning price, volume, volatility, and macro regime factors. Model weights are versioned, audited, and walk-forward backtested before promotion.

Question 3

How often are the ML models retrained?

Accepted Answer

Per-ticker fine-tuning runs nightly on the most recent rolling window. Full architecture retraining with hyperparameter search runs weekly. Every retrain is benchmarked against the prior weights on a held-out walk-forward set before promotion to production.

Question 4

Where does hedgewing.ai source its market data?

Accepted Answer

hedgewing.ai aggregates data from multiple licensed providers including Yahoo Finance fundamentals, Polygon equities, and curated news feeds. Real-time quotes stream through our edge broadcast hub.

Question 5

How much does hedgewing.ai cost?

Accepted Answer

hedgewing.ai is free to start with 3 full AI analyses per day. Pro is $19.99/month (or $199.99/year) with unlimited analyses, ML predictions, backtesting, and risk analytics. Workspace is $49.99/month for teams and includes API access. Every plan includes a 7-day Pro trial with no credit card required.

Question 6

Is hedgewing.ai investment advice?

Accepted Answer

No. hedgewing.ai is a research and analytics platform for informational and educational purposes only. We do not provide personalized investment advice. Please consult a licensed advisor before making investment decisions.

Question 7

Does hedgewing.ai offer an API?

Accepted Answer

Yes. API access and webhook exports are included on the Workspace tier. Endpoints cover predictions, quantitative metrics, and daily intelligence briefs. Rate limits are generous for research workflows.

Question 8

How is hedgewing.ai different from Bloomberg Terminal or QuantConnect?

Accepted Answer

Bloomberg Terminal costs around $24,000 per year and targets institutional desks. Quant data vendors run $5,000 to $15,000 per year. hedgewing.ai delivers a production deep-learning ensemble plus institutional risk analytics for $19.99 per month — roughly 99% cheaper than Bloomberg with modern UX and out-of-the-box ML.

Question 9

What is walk-forward backtesting?

Accepted Answer

Walk-forward backtesting evaluates a model by training on a rolling historical window, predicting the next out-of-sample period, then sliding the window forward. It prevents look-ahead bias and is the institutional standard for ML model validation. hedgewing.ai walk-forward backtests every model nightly.

Question 10

Can I cancel my hedgewing.ai subscription at any time?

Accepted Answer

Yes. Cancellations take effect at the end of the current billing period. You retain full access until then and we never charge surprise fees.

FRAF AI forecast — Franklin Financial Services Corporation