Trend

RSI WMA Crossover

Buys when the 20-bar RSI crosses above its own 20-bar weighted moving average and sells when it crosses back below.

Total score 28/ 100 rank 33 / 42 · trend 18 / 20

How It Works

  1. Compute the 20-bar RSI, then smooth the RSI itself with a 20-bar weighted moving average.
  2. Buy when the RSI crosses above its own average — momentum is improving faster than its recent norm.
  3. Sell when the RSI crosses back below its average.

Worked example. The 20-bar RSI has averaged 48 lately (its WMA). Yesterday the RSI read 47; today it jumps to 52, crossing above its own average — buy. When the RSI later sinks back below its smoothed line, the trade closes.

The Math Behind The Indicators

Everything runs on closing prices of the traded timeframe: P is a close, Pt today's close, and N counts bars — one bar is one candle of that timeframe, so 20 bars on a 1h chart is 20 hours.

Relative Strength Index (RSI)
A 0–100 gauge of how one-sided recent moves have been. It compares G, the average size of up-moves, to L, the average size of down-moves, over the last N bars (using Wilder's smoothed averages): near 100 almost every recent bar went up, near 0 almost every bar went down, 50 is balanced.
RSIN = 100 − 1001 + G/L
Example: If over the last 14 bars up-moves averaged 2.0 and down-moves averaged 1.0, then G/L = 2 and RSI = 100 − 100 / 3 ≈ 67. Readings below 30 are called oversold, above 70 overbought.
Weighted Moving Average (WMA)
A moving average where newer prices count more: the latest close gets weight N, the one before N − 1, down to weight 1 for the oldest. That makes it react to a turn in price sooner than a plain average.
WMAN = N · Pt + (N−1) · Pt−1 + … + 1 · Pt−N+1N + (N−1) + … + 1
Example: With N = 3 and closes 100, 102, 104 (oldest to newest): (1·100 + 2·102 + 3·104) / (1 + 2 + 3) = 616 / 6 ≈ 102.67 — pulled closer to the latest price than the plain average of 102.

Example Chart

Example Chart

The Metrics

Metric Calculation What it shows
Price Change % change = Plast − P0P0 × 100 The traded market's own close against its first close over the same window, as a percentage. What the market did while the rule was running — the benchmark every other row here is read against. A rule that made 40% in a market that made 120% lost to doing nothing.
Trades N = count(closed positions) How many positions the rule opened and closed over the window. The sample behind every other figure, and what the fees are charged on. Two rules with the same return are not the same rule if one took nine trades and the other took nine hundred.
Win Rate % W%n = winsnn × 100 Of the first n trades, how many closed above the cash they opened with after fees. Plotted trade by trade, so the line is the rate so far rather than a final figure. How often the rule is right, which is not how much it makes. A rule can win a third of its trades and still lead, if the third it wins pays for the two it loses.
Cumulative P&L % PnL%n = n∑i=1(fi − 1) × 100 Each trade's percentage result added up, net of fees. A sum rather than a compounding, so a 10% gain and a 10% loss cancel. What the rule returned per trade, with position size taken out of it. It answers whether the edge is in the trades themselves, where the equity curve answers what the account did with them.
Equity En = E0 n∏i=1fi The account compounded through every trade — the whole balance goes into the next position. Drawn net of fees as a solid line and gross of them as a dotted one. The account itself, which is the only figure a reader actually ends up with. The gap between the two lines is what the fees took, and it widens with every trade rather than staying a fixed share.
Cumulative Fees Fn = n∑i=1(Ci φ + Xi φ) Fee charged on the way into each position and again on the way out, at rate phi, on the capital actually committed — so the bill grows with the account as well as with the trade count. The cost of trading, in the account's own units. It is the one line here that only ever rises, and the one a rule cannot trade its way out of.
Rolling Sharpe Sharpet = mean(rdaily)sd(rdaily) × √365 Mean daily return over its deviation, annualized on a 365-day year because crypto has no weekend. Taken on the account marked to market every bar — open positions included, not just closed ones — and read off at each trade's exit. Return per unit of the swing it took to get it. It is the heaviest weight in the composite score, because an account that doubled calmly and one that doubled violently are not the same result.

Real Data

27/ 100Composite score

Metrics Per Trade

Final Metrics

Scores

Resampled Data

28/ 100Composite score

Metrics Per Trade

Final Metrics

Scores