Automated trading strategies you can test first

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Strategies

AIMv1.0.0

CryptoStocks

Automatic Investment Management — buy dips, sell rips

Lichello's rules-based system: buys more as the price falls and sells some as it rises, anchored to a slow-moving 'control value' with a safety band that ignores noise and a ratchet that banks profits over time. Strategy guide →

6 parameters

bsv1.0.0

CryptoStocks

Published strategy

BS (buy_sell) bidirectional grid strategy compiled to a WASM module for the strategy-worker. Vendor-published, installed into the customer DB as a versioned binary. Strategy guide →

6 parameters

mtf-rsiv1.1.0

CryptoStocks

Published strategy

Multi-timeframe RSI strategy compiled to a WASM module for the strategy-worker. HTF RSI trend filter + LTF RSI snap-back entry, reversing on the opposite signal. Strategy guide →

9 parameters

RSI Reversionv1.1.0

CryptoStocks

Fade overbought / oversold

Buys when RSI dips below the oversold threshold and sells when it climbs above overbought. Strategy guide →

8 parameters

RSI + Bollinger Bandv1.1.0

CryptoStocks

RSI reversal confirmed by a Bollinger Band touch

Enters as RSI crosses out of an extreme — up through oversold for a long, down through overbought for a short — but only when price is also touching or breaching the matching Bollinger Band (lower for longs, upper for shorts), confirming the stretch from the moving average that makes a short-term reversal likely. Only ever opens; allow-short is a checkbox (off for spot). Strategy guide →

10 parameters

stochasticv1.1.1

CryptoStocks

Published strategy

Single-timeframe slow-stochastic crossing strategy compiled to a WASM module. Buys when %D crosses up through oversold, sells when it crosses down through overbought; only ever opens (no close/offset). Per-signal size is a percent of remaining cash (default 5%) or a fixed dollar amount. Strategy guide →

10 parameters