Learn Trading.
No Hype. Real Data.

Most people argue about strategies. You can just test yours. A walkthrough of building any entry/exit rule from scratch — 13 indicators, custom conditions, trailing or signal exits — and seeing its real expectancy after fees in one click.

Design, backtest, and iterate no-code crypto trading strategies using PRUVIQ's Strategy Builder. Practical workflow, examples, and robustness checks to move from idea to conviction.

Everything you need to know about crypto perpetual futures. How leverage works, what funding rates are, and how to avoid getting liquidated.

A complete breakdown of crypto trading fees. Maker vs taker, funding rates, withdrawal fees, and how to cut your costs by 40% or more.

A practical guide to backtesting crypto trading strategies. Learn to avoid look-ahead bias, overfitting, and the common mistakes that make 90% of backtests worthless.

A practical guide to detecting volatility compression and expansion in crypto futures. No hype, just mechanics.

PRUVIQ was born from frustration with crypto's 'trust me bro' culture. The name is a challenge: Prove It. Here's how it started.

Position sizing, stop losses, and why managing risk matters more than finding the perfect entry. Practical guide for futures traders.

Weekly crypto strategy rankings — 29 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 29 strategies tested across top-50 coins.

Across BTC, ETH and SOL over nine years — two full bear markets included — we put every strategy head-to-head against simply holding. Not one produced a higher return than buy-and-hold. Here is the full scoreboard, including the one thing that did win — and what 'winning' actually meant.

We tested 34 strategies — every indicator, every pattern, and the unconventional ones nobody runs: rebalancing premiums, volatility harvesting, carry, regime-switching. Directional prediction: zero edge, every time. But changing the question gave us a real, honest answer.

Weekly crypto strategy rankings — 24 strategies tested across top-50 coins.

The hope is seductive: majors are too efficient, but small alts are sloppy enough to beat. We tested four liquidity tiers. The inefficiency is real — and the trading cost eats it many times over. The smallest coins are literally untradeable at size.

Price 'respects' the 0.618 level — until it doesn't. Fibonacci retracements feel mystical and look precise. But there's no mechanism for why a medieval rabbit-breeding ratio would predict crypto prices, and the data behaves exactly like every other support level: it works in hindsight and fails forward.

Head and shoulders, double tops, flags, wedges — chart patterns are the visual heart of technical analysis. But there's a problem no pattern-trading course mentions: no two traders draw the same pattern, and the data behaves like every other directional signal. We explain why.

Grid bots promise to profit from sideways chop by buying low and selling high on autopilot. The backtests look smooth and the equity curve climbs steadily — until one move erases months of gains. Here's why grid trading is short volatility in disguise, and what that costs you.

MACD crossovers, histogram flips, divergences — a whole language built on one indicator. We backtested MACD signal-line crossovers across 391 coins. The win rate was 50%, a literal coin flip, and after fees it lost. Here's why a derivative of two moving averages can't see the future.

Buy when RSI drops below 30, sell when it crosses 70 — the most popular oscillator strategy there is. We tested RSI oversold/overbought entries across 391 coins. The win rate was 47%, and the edge after a beta-strip was negative. The reason is a property of RSI everyone forgets.

The golden cross — the 50-day moving average crossing above the 200-day — is the most famous bullish signal in trading. We backtested moving-average crossovers across 391 coins. After fees and a beta-strip, the edge was zero. Here's the data and the reason.

'Volume precedes price' is trading gospel. We tested whether volume actually forecasts direction across 121 coins. The honest answer: volume carries a little real information — but not enough to beat trading costs. Here's the nuance most debunkings miss.

Scalping promises many small wins that add up. The problem is arithmetic: the more often you trade, the more times you pay the fee, and at high frequency the cost is larger than any edge a retail trader can find. Here's why scalping is the hardest game to win — and who actually wins it.

We beta-stripped every directional strategy and they all died. One thing survived — and it does not predict direction at all. The case for being the house instead of the gambler.

Drawing a line under the lows and buying the touch is the most-taught chart pattern there is. We tested it across 391 coins and 116,400 trades. The win rate was 39%. Here's why trendlines look perfect in hindsight and fail going forward.

Indicators, patterns, timeframes, exits, coin types, combinations, machine learning, options. Months of exhaustive testing, millions of trades, every result beta-stripped. This is the unedited verdict on what beats the market — and what doesn't.

We found one real edge. We are not trading it yet. Here is exactly what we are forward-testing on paper, why, and the gate it has to pass before any real money goes in.

RSI plus MACD plus a volume filter plus a trend confirmation — surely combining signals is stronger than one alone? We tested every combination. It isn't. Here's the math of why correlated signals stack into beta, not alpha.

Weekly crypto strategy rankings — 24 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 22 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 24 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 27 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 27 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 33 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 30 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 40 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 40 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 29 strategies tested across top-50 coins.

Weekly crypto strategy rankings — 30 strategies tested across top-50 coins.

We ran the same strategies in both directions across 50 coins for 365 days. SHORT dominated, but the last 30 days tell a different story. Here's the data.

Ichimoku LONG topped the weekly rankings with 75% win rate and 4.9 PF, while ATR Breakout LONG hit 0% win rate. Data from 26 active simulations.

Weekly crypto strategy rankings — 26 strategies tested across top-50 coins.

BB Squeeze SHORT strategy backtested with 3% and 10% stop loss across 50 coins over 2+ years. The tighter stop lost more trades but the wider stop made more money.

1-year backtest results across 52 crypto trading strategies on 572 coins. Raw numbers: win rates, profit factors, drawdowns, and which strategies actually survived.

Why Momentum Long lost money — data-driven analysis on 50 coins over 2+ years.

Profit Factor is the single most useful number in a backtest report. Learn what PF means, what counts as strong vs marginal, and how to use it in PRUVIQ rankings.

Look-ahead bias, overfitting, and out-of-sample testing explained. Why great backtest numbers frequently fail in live markets — and how PRUVIQ addresses each problem.

BTC dropped 48% from ATH. 311K traders got liquidated in one day. Our SHORT-only system ran through it all. Here's what actually happened.

A practical guide to backtesting crypto trading strategies. Learn to avoid look-ahead bias, overfitting, and the common mistakes that make 90% of backtests worthless.

How to calculate optimal position size using Kelly Criterion. Practical guide with real trading examples and the math behind bankroll management.

10 expert agents analyzed our TP change. 7 said GO, 1 said WAIT, 2 had invalid methodology. Here's exactly how we made the call — with all the data.

Look-ahead bias, overfitting, and the gap between backtested +2000% and live -30%. How to spot fake results.