πŸ“š Educational Guide

Strategy Selection Guide

With 480+ strategies available, how do you pick the right ones? This guide explains every metric and helps you build a selection framework that matches your goals.

The Six Metrics That Matter

Win Rate
Good: β‰₯ 55%
Great: β‰₯ 65%

The percentage of closed trades that hit take-profit. Higher is better, but not in isolation. A strategy with 45% win rate can still be highly profitable if its average win is much larger than its average loss.

⚠️

Do not chase win rate alone. A 90% win rate strategy that loses 10x on the rare losing trade has terrible risk-adjusted returns.

Profit Factor
Good: β‰₯ 1.3
Great: β‰₯ 1.8

Gross profit divided by gross loss. A profit factor of 1.5 means for every $1 lost, the strategy made $1.50. This is the single most important ratio for evaluating a strategy's quality.

⚠️

Profit factor below 1.0 means the strategy lost money in total. Even a 70% win rate can have a profit factor below 1.0 if losses dwarf wins.

Max Drawdown
Good: < 20% of avg profit
Great: < 10% of avg profit

The largest peak-to-trough decline in the strategy's equity curve. This tells you the worst losing streak you would have experienced following this strategy historically.

⚠️

A strategy with high profit factor but high drawdown may be psychologically difficult to follow β€” most traders abandon strategies during drawdown, exactly when they should be holding on.

Total Trades
Good: β‰₯ 50
Great: β‰₯ 200

The statistical sample size of the backtest. More trades means more reliable statistics. A strategy with 10 trades and 90% win rate is statistically meaningless β€” that sample is too small to trust.

⚠️

Our platform enforces a minimum of 20 trades for any published strategy. But we recommend favouring strategies with 100+ trades for greater statistical confidence.

Risk Level
Good: Match your tolerance
Great: Start Low

Strategies are classified as Low, Medium, or High risk. This reflects the volatility of the equity curve and the typical stop-loss size relative to take-profit.

⚠️

High-risk strategies can produce higher returns but also larger swings. If you are new to trading signals, start with Low or Medium risk strategies until you understand how the system works.

Trade Frequency
Good: Matches your schedule
Great: Consistent frequency

How many signals a strategy generates per day or week. High-frequency (scalping) strategies may fire 5–20 signals per day. Position strategies may fire once a week.

⚠️

More signals is not inherently better. Higher frequency often means smaller profit per signal and requires more active monitoring. Match this to your available time.

A Practical Selection Framework

Use these filters in order. Eliminating poor candidates early makes the final decision easier.

Step 1
Filter by minimum trade count
Set minimum to 50 trades. Eliminate everything below β€” the statistics aren't reliable.
Step 2
Filter by Profit Factor β‰₯ 1.3
This ensures the strategy has a proven statistical edge. Below 1.3 is marginal.
Step 3
Match risk level to your tolerance
If you're new: Low only. If you're experienced: up to Medium. High risk is for confident, experienced users.
Step 4
Check the market and timeframe
Stick to markets you understand. XAUUSD (Gold) and major Forex pairs are the most liquid.
Step 5
Review the equity curve shape
A smooth, consistently rising curve is better than a high-return but volatile one with long flat periods.
Step 6
Start small β€” follow 2–3 strategies
Use your free tokens on 2–3 filtered candidates before committing to many strategies at once.

Diversification: Following Multiple Strategies

Following multiple uncorrelated strategies is the most effective way to reduce variance in your signal performance. If one strategy hits a losing streak, others may be performing well.

βœ“ Good Diversification
  • Β· Mix XAUUSD, EURUSD, GBPUSD
  • Β· Mix scalping + swing strategies
  • Β· Mix different risk levels
  • Β· Max 5–8 strategies for beginners
βœ— Poor Diversification
  • Β· 10 strategies all on EURUSD
  • Β· All same timeframe (all scalping)
  • Β· All high risk
  • Β· Following 30+ strategies at once

Common Selection Mistakes

βœ—
Chasing the highest win rate
Fix: High win rate means nothing without profit factor context. A 45% win rate with PF 2.0 beats 80% win rate with PF 1.1.
βœ—
Picking strategies with fewer than 20 trades
Fix: Small samples are statistically unreliable. 10 trades with 90% win rate is luck, not edge.
βœ—
Abandoning a strategy after 3 losing signals
Fix: Even a strategy with 65% win rate will have losing streaks. 3–5 consecutive losses is statistically normal.
βœ—
Following too many strategies at once
Fix: More signals = more capital needed per signal. Start with 3–5 strategies and expand gradually.
βœ—
Ignoring the drawdown metric
Fix: A strategy you cannot psychologically hold through drawdown is a strategy you will abandon at the worst time.