From First Backtest to Pro
Every video explains one feature of the platform — and answers the question the previous one left open. The main chain starts at your first backtest and leads through the checks to the tools; alongside it sit the series on charts, strategies, filters and the MCP connector. Short videos, no click-through without substance: each carries a “why this matters” part.
33 of 36 videos are finished; the remaining links of the chain are listed here with their question and follow once they are narrated.
From first backtest to pro
Every video answers the question the previous one left open — from the first backtest through the checks to the tools.
- 1
What is Backtesting Arena, and what can you actually do with it?
What is Backtesting Arena?Free≈ 2:27 minA walkthrough for someone who is not a quant: run a trading rule against real prices, hold the result up against simply holding — and see what is left of a spectacular single result once the same rule runs across many pairs.
- 2
What does a backtest actually tell you — and what does it not?
Start a backtestFree≈ 1:54 minPick a pair, a strategy and a period, run the backtest, see the first result. And the most important boundary right from the start: a backtest shows how a rule worked in the past — not whether it will in the future.
- 3
That big number — great compared to what?
Compare against Buy & HoldFree≈ 0:59 minThe benchmark card: the strategy next to “just buy and hold” — averaged across every entry point, not one lucky purchase date. Without that comparison you cannot tell skill from a rising market.
- 4
It beats holding on paper — but does it survive costs?
Read the result — net of costsFree≈ 1:08 minThe result panel and the net-of-cost card: return before costs right next to return after costs. The gap is what the trading itself costs — on a rule that trades often it can eat the entire lead over holding.
- 5
These few dozen trades — is that even enough to trust?
Trade count and sample sizeFree≈ 1:25 minWhere the trade count sits in the result and why the platform warns on few trades: not a flaw in the strategy, but thin evidence. A great figure from few trades is a story; many trades make it a measurement.
- 6
Can one number tell you how good a strategy really is?
Understand the Arena ScoreFree≈ 1:11 minWhat the score can and cannot do: it ranks runs, it proves nothing. A thin sample caps it on purpose. A high score means “worth a closer look” — never “safe to trade”.
- 7
Is a great result real skill — or just the luckiest setting?
Check parameter robustnessPro≈ 1:42 minThe robustness field: your result next to its neighbours — the same rule on every other pair, plus the neighbouring settings. If one step aside destroys the result, it was never the strategy. A plateau is worth more than a peak.
- 8
One run, one neighbourhood — which rules hold up across the whole table?
From one run to many: Strategy InsightsPro≈ 1:22 minStrategy Insights: the same rule across many pairs, as a distribution instead of a best case. Almost anything looks spectacular on its best pair — the trustworthy rule is the one whose typical result holds up.
- 9
Can a filter turn a mediocre rule into a good one?
Measure what a filter doesPro≈ 1:31 minThe advanced filters in the backtester and the Edge Library behind them: every filter is measured on its own. Many pairings show no effect — stacking five filters until the past looks perfect decorates a rule, it does not improve it.
- 10
When does a strategy work — and when does it simply stop?
Strategy by market phaseFree≈ 1:27 minThe same rule split by market phase. The question is never just “does it work?”, but “in which phase — and which phase are we in now?”. A rule that shines in rising markets is not broken in a crisis: it is doing what its history said it would.
- 11
And what is the wider market doing while you trade?
Read the Macro RegimeFree≈ 1:24 minThe macro gauge and its components: context, not a signal. It does not tell you to buy — it tells you which weather you are trading in. Whoever turns a weather report into a trade instruction is selling you something.
- 12
A backtest is the past — how does the strategy hold up live?
Live Tracking: out of sampleFree≈ 1:33 minThe Live Tracking page: signals on prices nobody had seen when the backtest ran. The past can be tuned — settings, filters, time windows. The future cannot. That is the only evidence that deserves the word.
- 13
Buy now or wait for the dip — can you decide that with numbers instead of a feeling?
Dip Decision Tool: buy now or wait?Free≈ 1:47 minYour assumptions, written down: target, dip depth, probabilities. The tool plays "all in now", "wait" and "split" against them and names the tipping point where waiting starts to pay. "Wait for the dip" is a bet too — here you see what it hinges on.
- 14
What if you don't want to predict direction at all — can a rule earn from the swings themselves?
Grid bot backtestFree≈ 1:36 minA grid of buy and sell rungs across a range, replayed on real price history: every fill on the chart, the value over time, and next to it what holding would have done over the same period. Grids earn sideways and bleed in trends — nobody tells you in advance which market you get.
- 15
Could you live on your Bitcoin — and for how long?
Bitcoin Lifestyle Calculator: live on it?Free≈ 1:47 minThree paths to living off Bitcoin — sell, borrow, borrow and buy more — played out year by year with your holdings and your costs. The shaded zones show where a borrowing path drifts into loan trouble. No slogan is right in general; one is right for your numbers.
- 16
Buy the same amount every month — or more when the cycle is cold and less when it's hot?
Ladder Stacking: buy by the cycleFree≈ 1:41 minThree arms through the same history with the same money: all at the start, the same every week, or the ladder that buys more or less by the cycle thermometer. Whether "buy more when it is cold" pays is decided by the history you stand in — not by conviction.
- 17
How do you follow your signals without watching charts all day?
Alerts and the Signal BoardFree≈ 1:37 minSet up an alert, read the signal board. The lights are green, red — and sometimes grey: when the history is too short for a clean reading, the board says “no signal” and tells you why, instead of guessing a colour.
🎬 Video in production - 18
Missing something on the platform?
Submit improvementsFree≈ 1:31 minSubmit proposals, vote, read the changelog. The difference from a suggestion box: a proposed strategy is not built because it is popular — it is measured, by the same rules as in this series. “Does not hold” gets published too.
🎬 Video in production
Reading the Bitcoin charts
Three steps per chart: what you see · how to read it · where it misleads. Each video stands on its own.
- 1
Dozens of Bitcoin charts — what do you check on every one before you believe it?
The chart hubFree≈ 1:30 minThe entry to the Bitcoin charts: market status, categories, and the shape of every chart page. Three checks on every chart before you believe it — range, halvings, methodology. A chart is an argument in picture form; skip the methodology and you are trusting the colours.
- 2
Four cycles laid on top of each other — where does the overlay itself mislead?
Cycle overlayFree≈ 1:16 minFour cycles on top of each other — with anchor, clock and scale as three choices that each change how similar the cycles look. The similarity is a picture, not a measurement; anything fits through four points. Switch the anchor and see whether the story survives.
- 3
One score says where Bitcoin stands in its cycle — what can that honestly mean?
Market Pulse & cycle phaseFree≈ 1:30 minOne score for the cycle phase, from a fixed set of measurements, computed only from what was knowable on each day. Read the agreement of the indicators, not the number — and the list of flips: a score that changes its mind often is a band, not a switch.
- 4
Waves, fractals, trend phases — how much of market structure is only visible in hindsight?
Market structureFree≈ 1:13 minTurning points, waves, trend phases from the daily candles — and a two-candle blind spot at the right edge, because a turning point only exists once two candles have followed it. Structure is read backwards and traded forwards.
- 5
Fourteen Januaries — is that a pattern or a sample?
Seasonality: monthly returns & yearly lowsFree≈ 1:19 minThe monthly returns heatmap and the yearly lows: count the rows — that is how many Januaries there were. A monthly average rests on that many cases, and a few extreme years carry it. Seasonality is a small sample with a memory, not a rule.
- 6
The on-chain valuation with the famous zones — do old thresholds still apply?
MVRV Z-scoreFree≈ 1:14 minMarket value against the value at which the coins last moved — with two zones where earlier cycles turned. The zones are fixed lines from the past; every peak reaches a different height. Memory, not a ceiling.
- 7
Two top indicators with a track record — what do they measure, and what can they not?
Top indicators: Pi Cycle & Mayer MultipleFree≈ 1:28 minPi Cycle (two averages crossing) and Mayer Multiple (price to its 200-day average) — both as a compass for how stretched the market is against its own past. An indicator that called three tops has a record of three; a threshold from the past moves with every new year.
- 8
Billions flow in and out of the ETFs — why does a flow not move the price the way you expect?
ETF & treasury flowsFree≈ 1:15 minDaily net flows of the spot ETFs and corporate treasuries, with the price drawn above. Read the sign over weeks, not one bar — and find the days with inflow and a falling price. A flow is one kind of investor positioning, not a forecast.
- 9
Bitcoin has a season — when is it altcoin season, and what does that not tell you?
Altcoin Season indicatorFree≈ 1:34 minOne signal with three states from four dominance relations, the history chart with the signal as background, and the indicator as a filter in the Edge Library. It measures breadth against Bitcoin, not your profit — and as a filter it helps some rules and hurts others. The name is not the measurement.
Strategy portraits
What the rule does, and how its results so far look across many pairs — with verdict and caveat on screen.
- 1
Two lines cross and the trade flips — how much of that is trend, and how much is noise?
Portrait: EMA CrossPro≈ 1:37 minTwo moving averages, a fast and a slow one — when they cross, the trade flips. The portrait shows the rule in the backtester and its results so far across all pairs in Strategy Insights: median, comparison with holding, spread. It earns in long trends and pays for it in ranges.
- 2
A stop that only ratchets one way — what does it cost when the market goes nowhere?
Portrait: SupertrendPro≈ 1:25 minA stop line at the distance of the usual swing, ratcheting only with the trend; its flip to the other side is the signal. Strong in a trend, because no single bad day shakes it out — and in quiet sideways markets the same line flips back and forth on nothing.
- 3
Ichimoku has five lines — is the cross of two of them a rule, or half of one?
Portrait: Ichimoku TK crossPro≈ 1:30 minOf the five lines of the system the rule uses two: the Tenkan–Kijun cross, with the cloud as an optional filter. The portrait measures this fragment, not Ichimoku as a whole — a famous name does not carry over to a part of it.
- 4
The Alligator sleeps in ranges — does staying out actually pay?
Portrait: Williams AlligatorPro≈ 1:35 minThree smoothed averages, shifted forward: when they line up the alligator wakes; when they bunch together it sleeps and the rule exits. The sleeping exit saves the small losses of a range and costs a slice of every trend — whether that trade-off pays is what the matrix measures.
- 5
Three rules vote on every candle — does an ensemble beat its parts, or only smooth them?
Portrait: Wuguan MasterPro≈ 1:34 minThe house ensemble: three trend rules vote, two of three decide, the gate is the 200-week line. A vote removes the single false flip but cannot see a trend earlier than its slowest member. Three of the five portraits overlap — the video says so.
Filters, measured
A filter promises better entries. The Edge Library measures it: baseline against filtered, sample size, verdict.
- 1
Does the bull-market light actually improve a rule — or just thin it out?
The bull-market light filterPro≈ 1:31 minThe bull-market light lets a rule trade only in one market stage. The Edge Library measures what that does across many pairs; your own backtest shows how many entries the filter takes away for it. A filter can help and the rule can still lose.
- 2
The 200-week line is the best-known filter — is it also the strongest?
The 200-week line filterPro≈ 1:25 minTrade only above the 200-week line — the filter everyone knows. The Edge Library measures it on the same rule: the effect is real and small; its value is keeping the rule out during long declines. Famous and strong are two different things.
- 3
Volatility as a filter: which setting helps — and which one just sounds right?
The volatility filterPro≈ 1:29 minOne idea, three settings: only in calm markets, only in wild ones, only while swings widen. The Edge Library keeps one line per setting — and for the same rule only one of them holds up. A filter has to name its setting and show its sample.
Tools in depth
One tool, every setting: what each one changes and where the result misleads. Long form, each video stands on its own.
- 1
What can the Grid Bot tester actually do — and what does each setting change?
The Grid Bot tester, completePro≈ 5:00 minAll three modes (Auto, Custom, IV-anchored), fees, stop-loss and take-profit, leverage with funding and the liquidation check, the result panel with its stop reason — and the comparison to holding as the yardstick. Long form, about five minutes.
🎬 Video in production
Want the overview first?
If you are still deciding whether the tool is for you, read the six-step overview first — this guide then explains each feature on its own.
How it worksTry it directly
The backtester is free, and guests can test BTCUSDT without an account. The first videos of the chain run right there.
Open the backtesterThe videos show how the features are used and what their numbers mean. They contain no buy or sell recommendations; historical results describe the past and do not predict the future. This is not financial advice.