This page in one lineThis page checks whether Charlie’s own published trading signals are real skill or just luck, by asking how a random guesser would have done with the same chances.
Real or Lucky?
Charlie’s six-reading rule made +10.1% while holding Bitcoin made -7.3% in the held-back test (the later part of the history, kept aside while the rule was built) from 2025-12-29 to 2026-09-18. Out of 1,000 pretend Charlies who moved in and out at random, 22 in 100 did as well or better. The rule cannot yet be separated from luck. The Alpha Tracker’s 255 short-term calls won 65% of the time, but they were made on only 16 separate days, so a coin flipped once a day matches that record 14 times in 100.
First, what is being tested?
Charlie publishes a simple rule. Each day it looks at six market readings, each squeezed onto a fixed scale from -1 to +1 using rules set in advance: whether Bitcoin sits above its own average price of the last 200 days (Bitcoin trend), how technology shares moved over the last month (Technology shares), how the US dollar moved (US dollar, flipped so a weaker dollar counts as positive), how nervous the stock market looks (Equity stress, flipped), how fast the supply of stablecoins is growing (Stablecoin supply; stablecoins are digital dollars, coins built to stay worth one dollar), and how much traders are paying to hold Bitcoin futures (Futures cost, flipped; futures are contracts that bet on the price without owning the coin). The six are averaged. If the average is above zero the rule holds Bitcoin the next day; otherwise it sits in cash. A small fee is charged every time it switches. The chart follows $100 through the test period, the later 40% of the history, which was kept aside while the rule was built.
The rule was in the market 36% of the days and switched 11 times. Fee charged per switch: 0.10%.
How many real decisions was that?
The test period has 182 trading days, and the rule changed its mind only 11 times in that stretch. Separately, each of the six readings is judged on what Bitcoin did over the following 30 days. Those 30-day windows overlap like a sliding door: two windows one day apart share 29 of their 30 days, so they are almost the same bet counted twice. The whole history holds 425 such windows, which is really about 14 separate ones; the test period alone holds 152, which is about 5.
Big-looking counts shrink to small counts once overlap is removed.
What this does not mean. A small number of decisions does not make the rule bad. It means the evidence is thin, so the next tests matter more.
If 1,000 pretend Charlies picked their days at random, how many would beat holding by as much?
Here is the fairest test on the page. Keep the exact same prices. Keep the exact same number of days in and out of the market. Only shuffle when those in-and-out stretches happen, in blocks of 30 days so the pretend versions still look like real rules. Do that 1,000 times and see where the real result lands.
Each bar counts pretend Charlies. Shaded area: the 22% who did as well as the real rule or better. The typical pretend Charlie landed at +1.4 points.
What this does not mean. This does not say the rule will beat luck next year. It only says how special the past result was.
Would a different mix of the same six ingredients also have worked?
If a recipe only works with exactly these six ingredients and no others, that is a warning sign: it may have been tuned to the past. So every possible mix was tried, from one reading alone up to all six together. That is 63 recipes.
37 of 63 recipes beat holding Bitcoin. The published all-six recipe ranks 12 of 63. Best recipe: US dollar + Stablecoin supply + Futures cost at +32.3 pts. Worst: Technology shares + Stablecoin supply + Futures cost at -26.9 pts.
What this does not mean. Ranking well among 63 recipes is not the same as beating chance. The previous chart answers that.
Does each ingredient have a real edge on its own?
For each reading, look at what Bitcoin did over the next 30 days when the reading was positive, compared with when it was negative, using only the training part of the history. The dot is that difference. The bar is the range you get when the history is rebuilt from its own 30-day chunks 600 times (resampling). If the bar crosses zero, the edge could easily be nothing. A reading also fails if it spent fewer than 40 days on one side, because then one side is barely measured.
Green: the whole range is above zero. Red: the whole range is below zero. Gold: the range crosses zero, so the sign is not settled. pts means percentage points. The day counts show how often each reading was positive and negative in training.
What this does not mean. A reading whose bar crosses zero is not useless. It is unproven, which is a different thing.
Are the Alpha Tracker’s short calls better than a coin?
The Alpha Tracker is Charlie’s public list of short-term trading calls, each saying a small coin will rise or fall over the next hours or days. It has 255 finished calls, published between 2026-09-05 and 2026-09-20, and 65% of them ended in the direction they predicted (a bet on a fall counts as a win if the price fell). That sounds strong. But the calls were published on only 16 separate days, and calls made on the same day tend to win or lose together. So two coin flips are shown: one where the coin is flipped for every call, and one where it is flipped once per day.
A coin flipped per call reaches 65% about 0 times in 100. A coin flipped once per day reaches it 14 times in 100. Typical finished call: +1.8%.
What this does not mean. This does not say the calls were bad. Most ended slightly positive. It says the record is young.
What should you do with this?
Two kinds of reader use this page. One runs money for other people and has rules to follow. The other is deciding about their own savings. The same evidence leads to different actions.
If you run money for others
Funds, trading teams, the people who manage a company’s cash, research teams.
- The shuffle test puts the rule below 10 in 100Treat the rule as a candidate for a small, closely watched share of the portfolio. Ask for the same test to be re-run every quarter.
- The shuffle test sits above 10 in 100Do not put money behind it yet. Keep it on the list of ideas to watch and ask for a longer record on fresh data before deciding.
- A reading’s range crosses zeroDo not let that reading drive a risk decision on its own. Use it only alongside readings whose range is settled.
If it is your own money
Anyone deciding what to do with their own savings.
- You were about to copy a published signalFirst ask how many separate decisions sit behind it. If the answer is under 20, treat it as a story, not a plan.
- Someone quotes a hit rateAsk on how many different days the calls were made. Twenty calls on two days is two bets, not twenty.
- You still want to follow the ruleUse money you could lose without changing your life, and write down today what would make you stop.
The conclusion
A luck test for Charlie’s own published signals: the six-reading rule and the Alpha Tracker call record.
Almost every trading record on the internet is shown without asking how a random guesser would have done. Without that comparison a good-looking number proves nothing.
It gives you three questions to ask of any signal, anywhere: how many separate decisions, how many random versions did as well, and does the edge survive resampling.
The six-reading rule cannot yet be separated from luck: 22 in 100 random versions did as well. The call record is honest but young: 16 days is not yet a track record.
Words used on this page
Every technical word above is explained again here, in plain English.
- Test periodThe later part of the history that was hidden while the rule was being built, then used to check it.
- Holding BitcoinBuying once at the start and doing nothing. The simplest thing the rule must beat.
- ShuffleKeeping the same pieces but changing their order, to see what random timing would have done.
- BlockA run of 30 days kept together when shuffling, so pretend rules still behave like real ones.
- ResamplingRebuilding the history many times from its own chunks to see how much the answer wobbles.
- EdgeThe difference between what happened after a positive reading and after a negative one.
- Hit rateThe share of calls that ended in the direction that was predicted.
- Points or ptsPercentage points. A gap of 5 points means one result was 5% higher than the other.
- Alpha TrackerCharlie’s public list of short-term trading calls on small coins, each logged before its outcome is known.
- CallOne published prediction that a coin will rise or fall over the next hours or days.
- ReadingOne of the six market measurements the rule looks at, squeezed onto a fixed scale from -1 to +1.
- TrainingThe earlier 60% of the history, used to build and study the rule before it was tested on the later 40%.
- Held-back testAnother name for the test period: the later part of the history that was kept aside and not used while the rule was built.
- StablecoinA coin built to stay worth one dollar; a digital dollar.
- FuturesContracts that let traders bet on Bitcoin’s price without owning Bitcoin. Holding them has a cost that rises when many traders crowd in.
- PortfolioEverything an investor holds, taken together.
- Thin tradingWhen few people are buying and selling a coin, so a single trade can move its price a lot.
- Sample sizeHow many separate pieces of evidence a result really rests on. Bigger is better; overlap makes it smaller than it looks.
Where this page could be wrong
- The test period is short. A longer history could change every number on this page.
- The fee for switching is a simple 0.10%. Real trading in size costs more.
- Resampling in 30-day blocks keeps short-run behaviour but not longer cycles.
- The Alpha Tracker calls cover small coins with thin trading; their prices can be pushed by a single trade.
- Every result here is about the past. None of it is a forecast.