Files
fidc-backtest-engine/data/demo/000852量价微盘平台策略.engine-script.txt

64 lines
1.6 KiB
Plaintext

let refresh_rate = 15;
let stocknum = 40;
let close_rate = 1.07;
let loss_rate = 0.93;
let rsi_rate = 1.0001;
let trade_rate = 0.5;
let xs = 4 / 500;
let base_index_level = 2000;
let base_cap_floor = 3;
let base_cap_ceiling = 28;
fn band_start(current_price, base_index_level, xs, base_cap_floor) {
if current_price == base_index_level {
base_cap_floor
} else if current_price > 0 {
round((current_price - base_index_level) * xs + base_cap_floor)
} else {
base_cap_floor
}
}
fn band_end(current_price, base_index_level, xs, base_cap_ceiling) {
if current_price == base_index_level {
base_cap_ceiling
} else if current_price > 0 {
round((current_price - base_index_level) * xs + base_cap_ceiling)
} else {
base_cap_ceiling
}
}
strategy("microcap_volume_trend_000852") {
market("CN_A")
benchmark("000852.SH")
signal("000852.SH")
rebalance.every_days(refresh_rate).at("10:18")
universe.exclude("paused", "st", "kcb", "one_yuan", "new_listing")
selection.limit(stocknum)
selection.market_cap_band(
field="market_cap",
lower=band_start(signal_close, base_index_level, xs, base_cap_floor),
upper=band_end(signal_close, base_index_level, xs, base_cap_ceiling)
)
risk.index_exposure(
signal_ma5 > signal_ma10 * rsi_rate ? 1.0 : trade_rate
)
filter.stock_expr(
stock_ma5 > stock_ma10 * rsi_rate &&
stock_ma10 > stock_ma30 * rsi_rate &&
rolling_mean("volume", 5) < rolling_mean("volume", 60)
)
risk.take_profit(close_rate)
risk.stop_loss(loss_rate)
allocation.buy_scale(touched_upper_limit ? 1.0 : trade_rate)
ordering.rank_by("market_cap", "asc")
}