Intermediate Path

Level up your strategies. Backtest with real indicators, manage position sizing, and explore AI-powered trading.

1. 1

   Are Crypto Trading Bots Profitable? Real Data Analysis

   Are crypto trading bots actually profitable? We analyze real backtest data, profitability factors, risk variables, and when bots fail to set realistic expectations.

2. 2

   EMA Crossover Backtesting: Step-by-Step Strategy Validation

   Learn how to backtest EMA crossover strategies on crypto markets. Set up parameters, read results, and optimize with grid search on Sentinel Bot.

3. 3

   RSI Strategy Backtesting: Optimize Your Overbought/Oversold Signals

   Backtest RSI trading strategies on crypto with Sentinel Bot. Optimize period, thresholds, and combine RSI with other indicators for better signal quality.

4. 4

   MACD Backtesting: Validate Your Crossover Signals with Data

   Complete guide to backtesting MACD strategies on crypto. Learn histogram vs signal line entries, parameter sweeps, and how to avoid false crossovers.

5. 5

   Bollinger Bands Backtesting: Test Squeeze and Bounce Strategies

   Backtest Bollinger Bands squeeze and bounce strategies on crypto. Optimize period, deviation, and combine BB with RSI and volume for better entries.

6. 6

   Position Sizing and Risk Management: The Math Behind Profitable Trading

   Master position sizing for crypto trading. Learn the Kelly criterion, fixed percentage method, volatility-based sizing, and drawdown limits with examples.

7. 7

   Why AI Agents Are the Future of Algorithmic Trading

   *The shift from "AI gives advice" to "AI takes action" is transforming how traders build, test, and deploy strategies.*