1. Market data and freshness
Crypto observations are sourced from CoinGecko. Supported stock and ETF observations use Finnhub. A surface may also name another configured provider when one is active. The observation timestamp is carried from the market-analysis record.
If a current value or sufficient historical closes cannot be retrieved, TradeProview displays Unavailable. It does not replace the missing value with a sample, extrapolate one-day movement into a longer period, or ask an AI model to invent a realistic number.
Forex and commodity exercises appear only when a configured provider has supplied current observations. An empty category is an honest data-availability state.
2. Market evidence score (0–10)
The market score begins at 5.0. Components contribute only when their required observed history is available:
| Component | Rule | Effect |
|---|---|---|
| RSI (14) | At least 15 observed closes. RSI below 30 or above 70. | +2 below 30; −2 above 70; otherwise 0. |
| MACD | At least 26 observed closes. MACD compared with its signal line. | +1 above; −1 below; 0 when equal or unavailable. |
| Observed multi-session change | The recorded longer-period change is positive or negative. | +1 positive; −1 negative; 0 when flat or unavailable. |
technical score = clamp(5 + RSI effect + MACD effect + momentum effect, 0, 10)
If a verified fundamental score is supplied, the combined score is 80% technical and 20% fundamental. Otherwise the technical score is used without inserting a neutral placeholder.
Labels map as follows: 7.5–10 strong bullish evidence; 6.5–7.49 bullish evidence; 4.5–6.49 neutral evidence; 3.5–4.49 bearish evidence; below 3.5 strong bearish evidence.
3. Evidence alignment—not confidence
The Ideas page shows an evidence-alignment percentage. It measures how strongly the available score, observed 24-hour change and available RSI point in the same direction. It is not the probability of a price move, a success rate or backtested performance.
alignment = clamp(50 + 8 × |market score − 5| + observed-change adjustment + RSI adjustment, 0, 95)
The observed-change adjustment is 0.4 points per absolute percentage point, capped at 8. RSI can add 8 when it supports the evidence state or subtract 5 when it is stretched against that state. Missing inputs add nothing.
TradeProview does not supply an entry recommendation, profit target, stop-loss instruction or synthetic backtest. The learner writes a thesis, confirmation, invalidation and risk rule, then tests that plan with virtual money.
4. Scenario weights—not forecasts
The market-intelligence page partitions the current market score into bullish, mixed and bearish scenario weights. They are a visual restatement of the same score.
bull = max(0, score − 5) · bear = max(0, 5 − score) · mixed = max(0, 5 − |score − 5|) · then normalise to 100%
These weights are not empirical probabilities and have no promised time horizon. They help a learner compare conditions for three scenarios before writing a plan.
5. Skill Score (0–100)
The Skill Score measures recorded process, never profit, account value or win rate. Five dimensions are used: planning, risk, discipline, analysis and reflection.
dimension score = round(100 × successes/opportunities × (0.7 + 0.3 × min(1, opportunities/5)))
| Dimension | Success | Opportunity |
|---|---|---|
| Planning | A practised mission has a written setup or both thesis and confirmation. | Practised missions. |
| Risk | A practised mission has both invalidation and a written risk rule. | Practised missions. |
| Discipline | The learner records that the written plan was followed. | Reviewed missions. |
| Analysis | A knowledge-check answer is correct. | Knowledge-check attempts. |
| Reflection | A practised mission receives a completed review. | Practised missions. |
The overall Skill Score is the rounded mean of the five dimensions. The evidence-volume factor rises from 0.76 on the first opportunity to 1.0 at five, so a single action cannot appear fully established.
6. Paper-practice performance
Only closed paper trades enter performance statistics. Open positions are excluded. Win rate is wins divided by closed trades; expectancy is the average profit/loss across closed trades; profit factor is gross profit divided by absolute gross loss; maximum drawdown is the largest peak-to-trough decline in cumulative paper profit/loss.
These metrics describe virtual practice history. They do not demonstrate real-world execution quality or predict future results.
7. AI interpretation and safety limits
Tradie receives a context block containing available observations and source-attributed information. Its instruction is to use only that context, label facts and calculations, present balanced bull/base/bear cases, and say when a value is unavailable.
AI text can still be incomplete or wrong. It must not be treated as a recommendation, a personalised assessment or a substitute for professional advice. No AI output can execute a real-money trade on TradeProview.
A disclaimer does not turn a substantive recommendation into factual education. The product therefore removes BUY/SELL calls and directs each learner to form and paper-test their own plan.
8. News summaries and WatchDog Briefs
Every story keeps the publisher link and reported publication time supplied by the RSS feed. A story is labelled “Older news” only when its publication time is more than 72 hours before the current check.
The first summary line uses a short RSS description when it contains information beyond the headline. If the feed supplies only a headline, TradeProview says “Summary” and restates only that headline. It does not claim to have read details that were not supplied.
The “Why it matters” line and category tags are rule-based prompts derived from words in the supplied headline, such as earnings, analyst action, legal developments or price movement. WatchDog Briefs collect claims that deserve verification; they are not original reporting or a full fact-check.
9. Sources and review
- Data provided by CoinGecko — crypto market observations.
- Finnhub API documentation — supported stock and ETF observations.
- ASIC: Giving financial product advice — official Australian regulatory overview.
- ASIC: Discussing financial products and services online — distinction between factual information and influential recommendations.
This publication documents product behaviour; it is not a legal opinion. Operator, privacy and Australian financial-services wording should still receive professional review.