Setting up filters: Timeframe Period
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The first and most important parameter on every timeframe is "Period". It determines how "fresh" or "stable" your analysis will be. Let's break it down.
π What is it?
This is the historical depth (number of bars) that the screener uses for calculations on the selected timeframe.
For example:
- Period 50 on 1D = the last 50 daily candles
- Period 100 on 1H = the last 100 hourly candles
All analysis is calculated based on these bars.
π― What is it for?
The period directly affects the sensitivity and reliability of signals:
- Short period β signals are more current, but there's a higher risk of false positives.
- Long period β signals are more stable, fewer false positives.
Choosing the right period helps filter out noise and show only the coins that match your trading horizon.
π Short vs Long Period: What's the difference?
π₯ Short period (up to 50 bars)
- Fast reaction to a new market regime
- Great for catching the start of trends and impulses
- Downside: more noise and false signals
π‘οΈ Long period (60β200+ bars)
- Stable statistics
- Less impact from individual anomalies
- Downside: slower to react to trend changes
β‘ Which timeframe and period should you choose?
The choice of timeframe always depends on your trading style, experience, and psychological resilience. The main rule: the shorter the trades, the smaller the timeframe.
π₯ Scalp and intraday (time in trade: minutes to a few hours)
- Main timeframes: 1H, 15M, 5M
- Recommended period: 30β70
- Pros: maximum detail, plenty of opportunities
- Cons: high noise and stress
π Swing trading (time in trade: 1β10 days)
- Main timeframes: 4H + 1D
- Recommended period: 50β100
- Why: balance between the global trend (on D1) and entry points (on 4H)
π‘οΈ Positional and long-term trading (time in trade: weeks to months)
- Main timeframes: 1D, 1W
- Recommended period: 80β200+
- Pros: most reliable signals, minimal noise, relaxed trading
- Cons: fewer trading ideas, not suited for quick profits
π‘ Best practice β Multi-timeframe analysis
Use the combined top-down method:
- Higher timeframe (e.g. 1D) β identify the global trend and overall picture
- Middle timeframe (4H) β look for confirmation of the direction
- Lower timeframe (1H) β find the precise entry point
Example of a classic Power Move setup:
- 1D (period 50) β overall market picture
- 4H (period 50) β trend confirmation
- 1H (period 100) β entry point
There is also the well-known "Three Screens" system by Alexander Elder, which is built on the sequential analysis of three different timeframes. We'll cover it in the article on configuring multi-timeframe filters.
This approach helps filter out noise, find higher-quality signals, and see the full market picture.
π§ How does the selected period work in Power Move algorithms?
- The more bars in the period, the more "reserve" candles are available for calculating "fair volatility" when anomalies are detected.
- The number of bars in your period is used to compare against Bitcoin on the same timeframe when calculating the Pearson correlation coefficient β a method named after British statistician Karl Pearson.
- Important nuance: if a coin doesn't have enough historical data on the selected timeframe (e.g. it's relatively new), it won't be included in the selection. The screener requires a complete set of bars for accurate calculations.