The Measure of Trading Strategies

Trade the strategies that actually make money, and skip the ones that quietly lose it

53
Strategies
66
Best
48
Median
20
Worst
Rank Strategy Family Score
01 WMA 20 50 200 Early Stack Trend 66 Open
02 Price WMA 20 50 200 Stack Trend 65 Open
03 WMA 20 50 200 Stack Trend 65 Open
04 WMA 20 50 Crossover Trend 63 Open
05 Golden Cross 50 200 Trend 62 Open
06 SMA 20 50 Crossover Trend 62 Open
07 WMA 20 200 Crossover Trend 62 Open
08 EMA 20 50 Crossover Trend 61 Open
09 Faber Timing Model Trend 60 Open
10 MACD Zero Cross Trend 58 Open
11 Turtle Breakout 55 20 Breakout 57 Open
12 WMA 13 21 34 Stack Trend 57 Open
13 CCI Trend Momentum 56 Open
14 Ichimoku Cloud Breakout Trend 56 Open
15 EMA 9 21 Crossover Trend 55 Open
16 Aroon Crossover Trend 54 Open
17 Dual Momentum 90 252 Momentum 54 Open
18 Ichimoku TK Cross Trend 54 Open
19 WMA 20 50 ATR Trailing Stop Trend 54 Open
20 Donchian Breakout Breakout 53 Open
21 Keltner Channel Breakout Breakout 52 Open
22 WMA 7 20 50 Stack Trend 52 Open
23 Time Series Momentum 252 Momentum 50 Open
24 Connors RSI 2 Mean reversion 49 Open
25 Skip Month Momentum Momentum 49 Open
26 Double 7 Mean reversion 48 Open
27 High Watermark Momentum Momentum 48 Open
28 MACD Trend Filtered Cross Trend 48 Open
29 Time Series Momentum Momentum 48 Open
30 Turtle Breakout Breakout 48 Open
31 MACD Signal Crossover Trend 45 Open
32 WMA 20 50 Proximity Crossover Trend 44 Open
33 ADX DMI Trend Trend 42 Open
34 WMA 50 Price Cross Trend 40 Open
35 VWAP Cross Trend 38 Open
36 OBV Trend Momentum 34 Open
37 Parabolic SAR Trend 34 Open
38 Price WMA 20 Crossover Trend 34 Open
39 WMA 20 50 ADX Filtered Trend 32 Open
40 Bollinger Mean Reversion Mean reversion 30 Open
41 Bollinger Squeeze Breakout Breakout 30 Open
42 MFI Reversal Mean reversion 30 Open
43 RSI Oversold Overbought Mean reversion 30 Open
44 RSI WMA Crossover Trend 30 Open
45 Bollinger Band To Band Mean reversion 28 Open
46 Stochastic Oscillator Mean reversion 28 Open
47 MACD Histogram Turn Momentum 26 Open
48 Momentum WMA Crossover Momentum 26 Open
49 Support Resistance Bounce Mean reversion 25 Open
50 Williams R Mean reversion 25 Open
51 Green Candle Follow Momentum 22 Open
52 WMA 20 50 200 Short Stack Trend 22 Open
53 WMA 20 50 Short Crossover Trend 20 Open

By Category

  1. Trend n=29 49
  2. Breakout n=5 48
  3. Momentum n=10 41
  4. Mean reversion n=9 33

By Timeframe

  1. 4h n=742 53
  2. 1d n=742 51
  3. 1h n=742 41
  4. 30m n=742 34

By Market

  1. ETHUSDT n=424 51
  2. SOLUSDT n=424 50
  3. DOGEUSDT n=424 46
  4. ALL n=424 44
  5. BNBUSDT n=424 42
  6. XRPUSDT n=424 41
  7. BTCUSDT n=424 41

Best Strategy Per Symbol And Timeframe

How Scoring Works

25% Beats Hold 35% Risk Adjusted 20% Profitability 10% Win Rate 10% Fee Efficiency

Score = 0.25 Sbeats_hold + 0.35 Srisk + 0.20 Sprofit + 0.10 Swin + 0.10 Sfee

One 0–100 number per symbol × timeframe cell. Every strategy is run on every cell, on both real and resampled price history, and the total beside its name is this number averaged over all of them.

Beats Hold 25% Of The Score

Shows whether the strategy was worth running at all. A strategy that cannot beat owning the asset over the same window is an expensive way to own the asset.

Sbeats_hold = 1001 + e−log2 (Enet / Ehold)

Compares final net equity to what simply holding the asset would have returned over the same window, on an S-curve. Matching buy-and-hold scores 50, twice it 73, four times it 88; half of it scores 27. The curve flattens toward 0 and 100 but never reaches them, so a bigger lead always scores higher.

Risk Adjusted 35% Of The Score

Shows what the return cost in volatility, which is what separates a steady strategy from a lucky one. It carries the most weight of the five.

Srisk = 1001 + e1.8 − 2.2 · Sharpe

The rolling annualized Sharpe ratio at the last trade, on an S-curve: a Sharpe of 0 scores 14, about 0.8 scores 50, 2 scores 93. There is no ceiling, only less and less to gain: a Sharpe of 3 scores 99.

Profitability 20% Of The Score

Shows how far the account actually grew, with no question of how it got there: the plain result a reader came for.

Sprofit = 1001 + e2 − 0.8 log2 (Enet / E0)

How many times the starting cash multiplied, on a log scale bent into an S-curve: breaking even scores 12, doubling 23, about 5.7 times scores 50, 32 times scores 88. Losing money scores below 12, and further multiples keep adding, each a little less than the last.

Win Rate 10% Of The Score

Shows how often the strategy was right. On its own it says little, since one large loss outweighs many small wins, which is why it is worth a tenth.

Swin = 1001 + e(40 − W%) / 10

The share of trades that closed profitable, on an S-curve centred on 40%: winning 20% of trades scores 12, 40% scores 50, 60% scores 88, and the score keeps rising past that.

Fee Efficiency 10% Of The Score

Shows how much of the result survives the exchange. This is where a strategy that changes its mind often loses what it made.

Sfee = 100 (EnetEgross)2

The share of the fee-free (gross) result that survives after fees, squared: keeping the full gross result scores 100, keeping 70% of it scores 49, keeping half scores 25.