Bot DCA in mesh — Spot, no leverage, 19 layers per pair
The system does not predict direction. No "sentiment" indicator, it does not read news, and it does not read Square.
Trades
$BTC and
$ETH on Spot. Entry: RSI(14) below a fixed threshold, 1h candles.
Scaling (DCA): up to 19 entries per pair. Each new layer requires a minimum drop greater than the previous one — progressive spacing, preventing burning capital in the first hours of a correction. The RSI filter also tightens per layer: each additional entry requires deeper oversold conditions, not just a larger price drop.
Exit — hard-coded restriction, not discretionary: if current_profit <= 0: return N operational loss — the technical stoploss exists only as an extreme safety net (-99%); it is never triggered in practice.
Adaptive take-profit: the target decreases with each layer used (formula: base TP minus layer-based decay, with a minimum floor). The more the average entry price has deteriorated, the less bounce is needed to close in the green.
Backtest 2022-2026, ETH/USDT: 0 sales in the red across hundreds of cycles. Not discretionary.
Example: viral post today on Square announcing "+$1B in 2 hours" will appear. The figure doesn’t match — today’s rally was real (S&P +1.5%, Dow at a record), but the "+$1B in 2 hours" corresponds to an event from 4 months ago, recycled with a false time frame. A rules-based price system doesn’t have to distinguish between real news and recycled news — it processes neither.
Not financial advice, DYOR.
#trading #DCA #QuantStrategy #cripto