Strategies & Indicators

Use strategy templates and indicators to test hypotheses quickly. This page mirrors the same Learn content you see from the Strategies tab in the console, so names and behavior stay consistent.

Simple Moving Average (SMA)

The SMA calculates the average price over a specified number of periods. It smooths out price fluctuations to reveal underlying trends.

Trend

Relative Strength Index (RSI)

RSI measures the speed and magnitude of price changes. It oscillates between 0 and 100, indicating overbought (above 70) or oversold (below 30) conditions.

Momentum

MACD (Moving Average Convergence Divergence)

MACD shows the relationship between two moving averages. It consists of the MACD line, signal line, and histogram.

Trend

Bollinger Bands

Bollinger Bands consist of a middle band (SMA) and two outer bands that expand/contract based on volatility. Prices tend to stay within the bands.

Volatility

Average True Range (ATR)

ATR measures market volatility by calculating the average of true ranges over a period. Higher ATR = more volatility.

Volatility

Exponential Moving Average (EMA)

EMA is a moving average that reacts faster to recent price changes than SMA by giving more weight to recent data.

Trend

Example Strategies

SMA Crossover

Classic trend-following strategy using two moving averages

  • Entry: SMA(20) crosses above SMA(50)
  • Exit: SMA(20) crosses below SMA(50)
  • Risk: 2% per trade, 5% stop-loss

RSI Mean Reversion

Buy oversold, sell overbought using RSI

  • Entry: RSI(14) < 30
  • Exit: RSI(14) > 70
  • Risk: 1% per trade, 3% stop-loss

Bollinger Bands Squeeze

Trade breakouts from low volatility periods

  • Entry: Price breaks above upper Bollinger Band after squeeze
  • Exit: Price returns to middle band
  • Risk: 2% per trade, ATR-based stop

Multi-Leg Iron Condor

Options strategy with four legs for neutral market outlook

  • Entry: Sell call spread + sell put spread
  • Exit: Close all legs at 50% profit or expiration
  • Risk: Defined risk strategy

Why Backtest?

Backtesting helps validate if a strategy has a historical edge before real capital is at risk. Use this with the Risk Management section in Help & Docs for consistent sizing and drawdown controls.