Fixed Stop

Core idea

A fixed percentage stop places the stop-loss at a fixed percentage distance from the entry price — independent of volatility or market structure.

Long:  stop = entry_price × (1 − fixed_stop_pct / 100)
Short: stop = entry_price × (1 + fixed_stop_pct / 100)

Botty implementation

strategies/conditions.py → exit condition fixed_stop. Computed in get_fixed_stop().

def get_fixed_stop(entry_price, side, fixed_stop_pct):
    pct = fixed_stop_pct / 100.0
    if side == LONG:  return round(entry_price * (1 - pct))
    if side == SHORT: return round(entry_price * (1 + pct))

Parameter: fixed_stop_pct (default: 1.0) — distance in percent.

Pros

• Easy to understand and to reproduce.
• Stable in backtesting — no dependence on running indicator values.
• Good baseline for comparing other stop methods.

Cons

• Ignores market structure: the stop can sit at a meaningless level.
• Ignores volatility: too wide in quiet markets, too tight in volatile ones.
• An ATR stop or swing stop is structurally better in most cases.

When to use it

• As a fallback / default in backtests
• When market structure is unclear
• As a comparison baseline against an ATR stop