[ Strategy library ]
Six strategies, ready to run
Each card is a complete, deployable configuration — entry rules, exit rules, stop-loss and take-profit. Backtest it against real Robinhood Chain candles first, then deploy it to the engine in paper mode.
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ETH oversold reversion
Buy ETH when the 4H RSI capitulates, sell it back into strength.
- Asset
- ETH
- Timeframe
- 4H candles
- Stop-loss
- -8%
- Take-profit
- +15%
Entry
RSI(14) < 30
Exit
RSI(14) > 60
Or -8% stop / +15% target, whichever hits first
How it behaves
Sits flat most of the week and only engages after a sharp drawdown. Trades are short — usually a few days — and it exits on the bounce rather than waiting for a new high.
Best for
Choppy, range-bound markets where price keeps returning to its mean. It underperforms badly in a one-way downtrend, which is what the 8% stop is for.
ETH golden cross 10/30
Hold ETH only while the 10-day average leads the 30-day average.
- Asset
- ETH
- Timeframe
- Daily candles
- Stop-loss
- -12%
- Take-profit
- +30%
Entry
SMA 10/30 crosses up
Exit
SMA 10/30 crosses down
Or -12% stop / +30% target, whichever hits first
How it behaves
Very low frequency — a handful of signals a year on daily candles. Enters late by design and holds through pullbacks until the death cross, so single positions can run for weeks.
Best for
Riding sustained trends without watching the screen. The wide 12% stop is deliberate: a tight one would be shaken out inside a healthy uptrend.
NVDA MACD momentum
Take the bullish MACD turn on NVDA, but never chase an overbought tape.
- Asset
- NVDA
- Timeframe
- 4H candles
- Stop-loss
- -7%
- Take-profit
- +14%
Entry
MACD crosses bullish AND RSI(14) < 65
Exit
MACD crosses bearish OR RSI(14) > 78
Or -7% stop / +14% target, whichever hits first
How it behaves
Fires on the 4H MACD cross, but the RSI filter skips crosses that arrive after price has already run, which cuts the worst late entries. Exits on the opposite cross or an RSI blow-off, whichever comes first.
Best for
Assets that move in multi-day impulses. Expect several small stop-outs between the trades that work — the 2:1 target-to-stop ratio is what pays for them.
CBBTC capitulation buy
Step in on hourly BTC flushes using a fast RSI, with a tight leash.
- Asset
- CBBTC
- Timeframe
- 1H candles
- Stop-loss
- -6%
- Take-profit
- +12%
Entry
RSI(7) < 20
Exit
RSI(7) > 55
Or -6% stop / +12% target, whichever hits first
How it behaves
The 7-period RSI reacts far faster than the standard 14, so this triggers on intraday flushes rather than multi-week lows. Positions are typically measured in hours, and it trades more often than every other template here.
Best for
Liquid, high-volume assets where panic wicks get bought back quickly. The 6% stop is tight on purpose — a dip buy that keeps dipping is simply wrong.
TSLA trend follow 20/50
A slower daily crossover built to sit through TSLA's normal volatility.
- Asset
- TSLA
- Timeframe
- Daily candles
- Stop-loss
- -10%
- Take-profit
- +25%
Entry
SMA 20/50 crosses up
Exit
SMA 20/50 crosses down
Or -10% stop / +25% target, whichever hits first
How it behaves
Slower than the 10/30 cross: fewer signals, fewer whipsaws, and later exits. It gives back a visible chunk of the peak on every trade because the cross only confirms after the trend has already broken.
Best for
High-beta names where a faster crossover flips too often. Best judged over many trades, not on any single one.
AAPL momentum turn
Buy the MACD turn on AAPL only while RSI still shows the move is early.
- Asset
- AAPL
- Timeframe
- 4H candles
- Stop-loss
- -9%
- Take-profit
- +18%
Entry
MACD crosses bullish AND RSI(14) < 45
Exit
MACD crosses bearish OR RSI(14) > 70
Or -9% stop / +18% target, whichever hits first
How it behaves
The strictest entry in the library: momentum must turn up while price is still in the lower half of its range, so it passes on most crosses. When it does fire, it is early in the move rather than mid-way through it.
Best for
Slower, less volatile assets where you want few but well-located entries. Long stretches with no trades at all are the expected behaviour, not a fault.
These are starting points, not recommendations. Every template deploys in paper mode — simulated fills at real pool prices — so you can watch it trade before committing anything. Parameters are worth re-tuning per asset; backtest first, and remember past results never guarantee future ones.