This section is about trading: what the market is doing right now, whether a rule deserves your trust, how much money costs eat, and which habits cost the most. One rule for the whole section — no promises to beat the market and no automatic execution: every signal stops with a human.
Every template is a live walkthrough on demo data: open it in the Templates section of Analytics Agent and press “Use this template” to run it on your own data.
Strategy Backtest (Does MA Crossing Beat Holding, After Costs?)
Shows: the “moving average crossover” rule tested on past data with a commission on every trade, execution with no peeking at the future, and a sensitivity table — so nobody can cherry-pick a convenient period.
You get: with costs counted honestly, the rule loses to plain “buy and hold” — the same money, but without illusions and without overpaying commissions.
Strategy Metrics (Why a 55% Win Rate Can Still Lose)
Shows: a trade journal examined deeper than the account curve — average profit per trade, the ratio of wins to losses, streaks, holding time — and an explanation of why 55% winning trades still lost 17 thousand dollars.
You get: the win rate flatters you, but the size of wins and losses decides the book’s economics — here that geometry becomes visible, and you can argue with it.
Technical Screener (What Looks Stretched Right Now?)
Shows: the whole market on one screen — overheated, deeply fallen, and long range-bound stocks, with openly stated thresholds and a plain-words assessment of every stock.
You get: instead of “signals” with opaque settings, a description of past price with open rules; no reversal is predicted here, and it says so plainly.
Crypto Correlations (How Diversified Is It, Really?)
Shows: a correlation matrix of ten coins, each coin’s rolling correlation with bitcoin, calm windows compared with stress windows, and the bottom line — how many independent bets the wallet really holds.
You get: “ten coins” turn out to be one bet in a crash; knowing this in advance beats wondering why everything fell together.
Forex Pairs (What Moves Them, and What Does Carry Pay?)
Shows: the correlations of six major currency pairs, a ranking by interest rate difference, and a month-by-month check of what that difference earns — with its steady small income and one big hole during the flight from risk.
You get: six pairs often turn out to be one dollar bet; and the steady income from the rate difference is shown next to how much it can give back in a single spike.
On-Chain Health (Is the Network Behind the Price Healthy?)
Shows: four indicators of the network’s condition under the coin’s price — valuation against usage, the activity trend, coin flows to exchanges, and holder profit — plus the episodes found where price and activity diverged.
You get: network metrics are easy to fake, and the data shows it: fake volume cheaply inflates usage — so the panel gets read, not just scrolled past.
Options IV vs RV (What Move Is the Market Pricing In?)
Shows: what move the market is pricing into the option, which wing costs more, whether insurance is expensive against the move that actually happened — an interval for every question, not a single number.
You get: an option is the only instrument that names a number for the future; here you see how much the market charges for insurance and when it is expensive.
Trade Journal (Which Habits Cost Money This Year?)
Shows: trades sorted by repeating habits — averaging down, revenge trades after a loss, losses held too long, profits cut too early — each with a price tag, plus one recommendation.
You get: instead of “trade more disciplined,” a concrete list of habits, each in money, and one rule worth changing to stop losing money.