> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trinigence.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Beginner Examples
> Simple, beginner-friendly trading ideas and why they work well in Trinigence.
## How to use these examples
These examples are intentionally simple.
They are designed to:
* produce trades
* be easy to understand
* behave predictably in backtests
You can copy them directly, modify them, or use them as inspiration.
A beginner strategy is not a bad strategy.
Simple ideas are easier to evaluate and improve.
***
## Example 1: Basic RSI reversal
**Trading idea:**
```text theme={null}
Create an ETH/USDT strategy on the 1h timeframe.
Go long when RSI(14) drops below 30.
Exit with a 5% take profit and a 1% stop loss.
```
**Why this works as a first example:**
* clear market and timeframe
* single indicator
* deterministic entry
* fixed risk
This strategy helps you understand:
* oversold logic
* trade frequency
* basic risk/reward behavior
***
## Example 2: Moving average crossover
**Trading idea:**
```text theme={null}
Trade BTC/USDT on the 4h timeframe.
Go long when EMA(20) crosses above EMA(50).
Exit when EMA(20) crosses below EMA(50).
```
**Why this works:**
* classic trend-following logic
* entry and exit symmetry
* no fixed TP/SL required
Good for learning:
* crossover behavior
* trend duration
* drawdowns during ranges
***
## Example 3: Fixed TP/SL with momentum confirmation
**Trading idea:**
```text theme={null}
Trade ETH on 1h.
Go long when RSI(14) is above 55.
Use a take profit of 6% and a stop loss of 1.5%.
```
**Why this works:**
* momentum confirmation is explicit
* exits are deterministic
* produces frequent trades
Useful for understanding:
* win rate vs average win/loss
* impact of fixed exits
***
## Example 4: Long and short symmetry
**Trading idea:**
```text theme={null}
Trade BTC/USDT on the 1h timeframe.
Go long when EMA(20) crosses above EMA(50).
Go short when EMA(20) crosses below EMA(50).
Use a 4% take profit and a 1% stop loss.
```
**Why this works:**
* demonstrates bidirectional logic
* same rules for long and short
* easy to compare performance
Great for:
* understanding short trades
* market regime differences
***
## Example 5: Time-filtered trading
**Trading idea:**
```text theme={null}
Trade ETH on 1h.
Go long when RSI(14) crosses above 50.
Trade only on Monday, Wednesday, Thursday, and Friday.
Exit with a 5% take profit and a 1% stop loss.
```
**Why this works:**
* introduces filters without complexity
* shows how schedules affect trade count
***
## Common beginner mistakes
Start with one indicator. Add confirmations only after you understand baseline behavior.
Always define exits. If you forget, ATI will stop and ask.
Look at behavior first, profit later.
***
## How to build on these examples
Once you’re comfortable:
* change timeframes
* adjust parameters slightly
* add one filter at a time
* compare results side by side
Learn how to improve strategies without overfitting.
***
## What to read next
The mental model behind clear ideas.
Learn when to stay intuitive and when to be precise.
Understand what AI handles for you.
See how these ideas are formalized.
If a beginner strategy behaves “badly”, that’s still valuable information.
Simple strategies teach faster than complex ones.