---
title: "Trading"
id: "1772"
type: "page"
slug: "trading"
published_at: "2026-09-20T21:35:44+00:00"
modified_at: "2026-09-20T21:43:14+00:00"
url: "https://xedant.com/agents/analytics/docs/templates/trading"
markdown_url: "https://xedant.com/agents/analytics/docs/templates/trading.md"
excerpt: "This section is about trading: what the market is doing right now, whether a rule…"
---

# Trading

[https://xedant.com/agents/analytics/docs/templates/trading.md](https://xedant.com/agents/analytics/docs/templates/trading.md)

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.

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