Moving averages describe the trend: price above a rising 50- and 200-day average is a healthy uptrend; the 50-day crossing above the 200-day (a golden cross) marks a bullish regime, crossing below (a death cross) a bearish one. MACD compares short and long momentum — above its signal line means momentum is with the trend. RSI measures how stretched the recent move is: above 70 is overbought (prone to pause or pull back), below 30 oversold (prone to bounce). None of these predict — they describe the balance of evidence.
The channel fits a straight line through the last 90 closes and extends it forward with a band of two standard deviations of the recent scatter. It answers "where does the current trajectory point if nothing changes" — a famous, simple baseline traders use to frame decisions. It is an extrapolation of the past, not a prediction: news, cycles and sentiment can and do break trends. Use it to set expectations and levels, never as a promise.
Scenarios are pattern recognition on live price structure, recomputed every refresh on the timeframe you have selected. The desk checks six well-known conditions: pullbacks to a rising MA 50 inside a golden-cross regime, fresh golden crosses with momentum confirming, oversold RSI inside an uptrend, price pressing a breakout level, overbought stretch at the upper Bollinger band, and established downtrends. Each match is turned into concrete numbers — entry style (limit, stop or market), a volatility-based stop from ATR, a target at a fixed reward-to-risk — and is then cross-examined for independent confluence: does the higher timeframe agree, is momentum turning the same way, does the entry sit on a pivot or fibonacci level, is price extended, is volatility running hot, is the crowd at an extreme. The fors and againsts are shown on each card, and your own historical record with that setup completes the ranking — record first, then net confluence. It reads price, trend, momentum, volatility and levels only: it does not read news, order flow or social feeds, and it never predicts — it frames disciplined options and leaves the decision with you. The sentiment gauges on the desk add the crowd-mood check alongside.
Professional sizing works backwards from risk: decide the most you are willing to lose (account × risk %), divide by the distance from entry to stop, and that is your position size. The reward-to-risk ratio compares the distance to your target against the distance to your stop — at 2:1 you can be wrong more often than right and still come out ahead, which is why the desk defaults there. The ATR stop places your stop one-and-a-half average daily ranges away, outside normal noise.
Headlines come straight from the RSS feeds you add — nothing is curated or generated by the desk. Many publishers block direct browser access, so when needed items are fetched through a public relay (allorigins.win); if a source ever fails, try another feed URL from the same publisher. Timestamps are the publisher's own. News is context for your judgement, not a signal: the scenario engine deliberately does not trade on it.