> ## Documentation Index
> Fetch the complete documentation index at: https://quantumfinance.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Trading Strategies: Choose the Right Risk Profile
> Compare Quantum Finance's four built-in trading strategies and choose the one that matches your risk tolerance, capital size, and session goals.
Quantum Finance ships with four trading strategies, each tuned to a different balance of risk, reward, and trade frequency. The strategy you choose controls the engine's entry conditions, take-profit target, stop-loss threshold, and how quickly it re-enters after closing a position. Nothing changes about the underlying signal logic — the same EMA crossover and RSI rules apply — but the thresholds and entry strictness differ significantly between strategies.
## The four strategies
Aggressive is the default strategy. It uses loosened entry conditions — the fast EMA only needs to be at or above the slow EMA, and RSI just needs to be above 45 — so it enters positions frequently and does not require a confirmed volume spike or breakout.
**Take profit**: 0.50% price movement\
**Stop loss**: −0.20% price movement\
**Risk-to-reward ratio**: 2.5:1\
**Break-even win rate**: \~29%
The trade-off is that Aggressive accepts lower-conviction setups in exchange for more frequent trades. It works well in trending markets where momentum is consistent, but can take more small losses in choppy or sideways conditions.
Momentum requires a confirmed trend before entering. Entry conditions are strict: the fast EMA must be clearly above (or below) the slow EMA, RSI must be in the directional zone (above 50 for longs, below 50 for shorts), and both a volume spike and a price breakout must be present. This filters out weak setups and focuses on high-conviction moves.
**Take profit**: 1.50% price movement\
**Stop loss**: −0.50% price movement\
**Risk-to-reward ratio**: 3:1\
**Break-even win rate**: \~25%
Momentum takes fewer trades than Aggressive but targets larger price moves. It suits assets with strong directional momentum — major pairs like BTC/USDT or ETH/USDT during volatile sessions.
Scalping prioritizes speed over conviction. Like Aggressive, it uses loose entry conditions and enters frequently. Unlike Aggressive, it also applies a time-based exit layer:
* If a position has been open for more than 60 seconds **and is in profit**, it closes immediately to lock gains and re-enter
* If a position is in loss after 60 seconds, it holds and waits for recovery
* If a position is still open after 3 minutes regardless of PnL, it closes to protect capital
**Take profit**: 0.20% price movement\
**Stop loss**: −0.10% price movement\
**Risk-to-reward ratio**: 2:1\
**Break-even win rate**: \~33%
Scalping is the highest-frequency strategy. It is designed for liquid pairs in fast-moving markets and produces the most trades per session. The tight targets mean individual profits are small, but the engine compounds them over many trades.
Conservative applies the same strict entry filters as Momentum — confirmed EMA crossover, RSI in zone, volume spike, and breakout confirmation — but targets a more moderate price move.
**Take profit**: 1.00% price movement\
**Stop loss**: −0.30% price movement\
**Risk-to-reward ratio**: 3.3:1\
**Break-even win rate**: \~23%
Conservative has the best theoretical risk-to-reward ratio of any strategy. It trades infrequently, holds positions longer than Scalping or Aggressive, and requires the most confirmation before entering. It is the right choice if you prefer fewer, higher-quality setups over a high trade count.
## Strategy comparison
| Strategy | Risk level | Trade speed | TP target | SL threshold | Best for |
| - | - | - | - | - | - |
| Aggressive | Medium-High | Fast | 0.50% | −0.20% | Trending markets, frequent compounding |
| Momentum | Medium | Moderate | 1.50% | −0.50% | Strong directional moves, high-cap pairs |
| Scalping | High | Very fast | 0.20% | −0.10% | Liquid pairs, high-frequency sessions |
| Conservative | Low-Medium | Slow | 1.00% | −0.30% | Risk-averse traders, longer holds |
## Choosing the right strategy
Use **Scalping** for the highest trade count per session. Entries fire on relaxed conditions and the time-based exit layer keeps the engine rotating capital quickly. Be aware that Scalping's tight take-profit means you rely on volume — a single bad session can feel choppy.
**Scalping** is also a solid choice if you want to compound small wins over a long session. The engine scales lot size on consecutive wins, so a good run builds position size gradually.
Use **Momentum** if you want the engine to wait for a confirmed, high-conviction setup and target a larger move. Momentum holds positions longer and filters out noise, so you will see fewer trades but each one targets 1.50% before closing.
Pair Momentum with a volatile, high-liquidity asset like BTC/USDT or ETH/USDT for best results.
Use **Conservative**. It applies the strictest entry filters, the best risk-to-reward ratio, and a 3.3:1 R:R means you can be wrong more often than right and still come out ahead. The trade-off is patience — the engine may sit idle for extended periods waiting for a qualifying setup.
Start with **Aggressive** in demo mode. It generates enough trade activity to help you understand how the engine behaves and how signals are logged, without locking you into either extreme of the strategy spectrum. Once you are comfortable, switch to another strategy that matches your live trading goals.
You can change your strategy between trading sessions. Select a new strategy from the strategy picker before pressing Start — the engine reads the setting at startup. You cannot change strategy while the engine is running; stop the session first, then switch.
Each completed trade stores the strategy it was executed under. Your trade history shows the strategy name alongside entry price, PnL, and trade type, so you can compare strategy performance across sessions over time.
This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.