Strategy Research

Analytics of Trading and Investment Strategies

Find out which trading strategies actually work before you risk a cent. 45 popular strategies, put to the test and ranked so the winners stand out at a glance.

Strategies

Rank Strategy Family Score
01 WMA 20 50 Crossover Trend 64
02 Golden Cross 50 200 Trend 62
03 WMA 20 50 200 Early Stack Trend 61
04 Faber Timing Model Trend 60
05 WMA 20 50 200 Stack Trend 60
06 WMA 20 200 Crossover Trend 58
07 Turtle Breakout 55 20 Breakout 56
08 WMA 13 21 34 Stack Trend 56
09 Ichimoku Cloud Breakout Trend 55
10 Aroon Crossover Trend 54
11 Cci Trend Momentum 54
12 Donchian Breakout Breakout 54
13 WMA 7 20 50 Stack Trend 54
14 WMA 20 50 ATR Trailing Stop Trend 52
15 Time Series Momentum Momentum 51
16 Skip Month Momentum Momentum 50
17 Dual Momentum 90 252 Momentum 48
18 Keltner Channel Breakout Breakout 48
19 Time Series Momentum 252 Momentum 48
20 Turtle Breakout Breakout 47
21 High Watermark Momentum Momentum 43
22 Adx Dmi Trend Trend 42
23 WMA 20 50 Proximity Crossover Trend 41
24 MACD Signal Crossover Trend 40
25 WMA 50 Price Cross Trend 40
26 Double 7 Mean reversion 38
27 Connors RSI 2 Mean reversion 36
28 Vwap Cross Trend 36
29 Parabolic Sar Trend 34
30 Obv Trend Momentum 32
31 Price WMA 20 Crossover Trend 32
32 RSI Oversold Overbought Mean reversion 30
33 WMA 20 50 Adx Filtered Trend 30
34 Mfi Reversal Mean reversion 28
35 RSI WMA Crossover Trend 28
36 Bollinger Band To Band Mean reversion 26
37 Momentum WMA Crossover Momentum 26
38 Stochastic Oscillator Mean reversion 26
39 Bollinger Mean Reversion Mean reversion 25
40 Williams R Mean reversion 23
41 Support Resistance Bounce Mean reversion 22
42 Bollinger Squeeze Breakout Breakout 20
43 Green Candle Follow Momentum 20
44 WMA 20 50 200 Short Stack Trend 14
45 WMA 20 50 Short Crossover Trend 12

Score By Category, Timeframe, Symbol And Strategy

Score By Category

Score By Timeframe

Score By Symbol

Score By Strategy

Best Strategy Per Symbol And Timeframe

How Scoring Works

Every strategy is run on every symbol × timeframe cell, on both real and resampled price history. Each cell gets five 0–100 sub-scores, blended into one composite score by the weights below. A strategy's total score (shown next to its name) is the average of its composite score across all cells, then averaged again across the real and resampled datasets.

Beats Hold

Sbeats_hold = clamp0100(50 + 25 log2EnetEhold)

Compares final net equity to what simply holding the asset would have returned over the same window. 50 is break-even; every doubling versus buy-and-hold adds 25 points.

What it shows

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

Risk Adjusted

Srisk = clamp0100(55 · Sharpe + 5)

A linear read on the rolling annualized Sharpe ratio at the last trade — 0 Sharpe scores 5, roughly 1.7 Sharpe maxes out the scale.

What it shows

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

Profitability

Sprofit = clamp0100(20 log2EnetE0)

How many times the starting cash multiplied, on a log scale — each doubling of capital is worth 20 points.

What it shows

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

Win Rate

Swin = clamp0100(2.5 (W% − 20))

The share of trades that closed profitable, rescaled so a 20% win rate scores 0 and a 60% win rate maxes out the scale.

What it shows

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

Fee Efficiency

Sfee = clamp0100(Enet/Egross − 0.40.6 × 100)

The share of the fee-free (gross) result that survives after fees — 60% survival scores 0, keeping the full gross result scores 100.

What it shows

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

Composite

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

The five sub-scores blended by weight into one 0–100 number per symbol × timeframe cell — risk-adjusted return and beating a hold carry the most weight.

What it shows

The number every ranking on this site is sorted by, and the one shown beside a strategy's name.

The Markets

Every score above is earned on the same markets. Asset Characteristics measures those markets themselves rather than the rules run on them: what each one returned, how roughly and how evenly it moved, how much of its life it spent going nowhere, and how closely it tracks the rest.