Technical Indicators. Price, transformed into something testable.
Technical indicators are mathematical transformations of price and volume: moving averages, RSI, MACD, ATR, Bollinger Bands and the rest. They do not add information, they reshape what is already there into something easier to state as a rule.
That is exactly why they suit automation. An indicator condition is unambiguous, which means it can be backtested and executed identically every time.
Their real value is that they are falsifiable
The argument about whether indicators work is usually the wrong one. Their advantage is that a rule like "enter when the fast average crosses above the slow one and ATR is above its median" can be tested over ten years of data in seconds. A discretionary judgement cannot. Indicators turn an opinion into a hypothesis you can check.
Technical Indicators in a strategy
Moving average relationships define trend direction in a way a rule can act on.
RSI and MACD describe the pace of a move and when it is decelerating.
ATR and band width let position size adapt to conditions rather than staying fixed.
Most robust strategies stack several indicators so no single reading can trigger a trade alone.
A trend pullback entry with a volatility filter
Four conditions, each removing a specific failure mode from the one before it. This is what stacking indicators is actually for.
- IFThe 50 EMA is above the 200 EMA, establishing an uptrend
- ANDPrice has pulled back to within 0.5% of the 20 EMA
- ANDRSI(14) is between 40 and 55, a pause rather than a breakdown
- ANDATR(14) is above its own 100-period median, so there is enough movement to pay for the trade
Read the conditions as filters rather than a formula. The EMA relationship stops you buying pullbacks in a downtrend, where they are just the trend continuing. The RSI band separates a pause from a collapse. The ATR filter keeps the strategy out of markets too quiet to cover fees and slippage. Sizing the stop in ATR rather than a fixed percentage means the same rule behaves sensibly in calm and volatile conditions. The danger is the obvious one: every condition you add fits the history better and shrinks the sample you are fitting to, which is what walk-forward testing and paper trading exist to catch.
Indicators are computed from candles the exchange already publishes, so no third-party data is needed at all.
The standard library is built in, so a condition references an indicator directly rather than you maintaining the maths.
If you calculate something custom elsewhere, send the result in as an external signal and treat it like any other condition.
Every indicator lags, and overfitting is easy
Indicators are computed from past prices, so they describe what has happened. The greater danger is optimisation: with enough parameters you can fit any history perfectly and learn nothing about the future. This is what walk-forward testing and paper trading are for.
Put Technical Indicators to work on your own account.
No screens to babysit: define the conditions and the bot does the rest.
- Trend identification
- Momentum and exhaustion
- Volatility for sizing