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HISTORICAL IMPACTS GUIDE

Analyze how economic events move markets with historical data

7 min readUpdated Dec 2025

What is Historical Impacts?

Historical Impacts is a powerful analytics tool that shows you exactly how economic events have historically moved different assets. By analyzing years of data, it reveals which events cause the biggest price moves, volatility spikes, and directional biases for forex pairs and cryptocurrencies. Use this data to prepare for upcoming events and understand market reactions.

INFO

Historical Impacts analyzes years of price data to show you exactly how markets have reacted to each type of economic event.

Two Analysis Views

The Impacts page offers two complementary perspectives on event-asset relationships.

BY ASSET VIEW

See all economic events ranked by their historical impact on a specific asset. Perfect for traders who focus on specific pairs (like EUR/USD or BTC) and want to know which events matter most for their trades.

BY EVENT TYPE VIEW

See how a specific event type (like NFP or CPI) impacts different assets. Perfect for event traders who want to find the most reactive assets to trade around specific announcements.

VIEW TABS

Switch between analysis modes

Understanding the Metrics

Each impact analysis includes several key metrics to help you understand market behavior.

5MIN AVG

Average absolute return in the 5 minutes following the event release. Shows immediate market reaction and is useful for scalpers and news traders.

60MIN AVG

Average absolute return in the 60 minutes following the event. Captures the full initial reaction including any reversals or follow-through.

1DAY AVG

Average absolute return over the full trading day. Shows whether the event sets the tone for extended moves.

VOL_SPIKE

Volatility spike multiplier compared to normal conditions. A 3x spike means volatility was 3 times higher than usual. Critical for position sizing.

MAX_EXCURSION

Average maximum move (either direction) during the event window. Shows how far price traveled at its peak, useful for stop placement.

SIG_MOVE %

Percentage of events that caused a "significant" move (>0.5% for forex, >2% for crypto). Helps identify events that consistently deliver tradeable volatility.

DIR_ACC

Directional accuracy - percentage of times price direction matched expectations based on data surprise. Higher accuracy means more predictable reactions.

Reading Asset Cards

Each asset card in the "By Asset" view shows comprehensive impact statistics. The header displays the asset symbol with color coding (cyan for forex, orange for crypto) and total events analyzed. The return stats grid shows 5-minute, 60-minute, and 1-day average absolute returns with color-coded intensity. The direction bias bar shows the historical up/down split, revealing any directional tendency. Footer stats include volatility spike, max move, and directional accuracy.

ASSET CARD EXAMPLE

EUR/USD impact profile

EUR/USDFOREX
847 events
5MIN
0.12%
60MIN
0.28%
1DAY
0.54%
↑ UP (423)DOWN (424) ↓
VOL_SPIKE
2.4x
MAX_MOVE
0.68%
DIR_ACC
52%

Reading the Event Table

The "By Event Type" table lists all economic events ranked by their average 60-minute impact. Each row shows the event name, country flag, number of historical occurrences analyzed, time-based returns (5m, 60m, 1d), volatility spike multiplier, and significant move rate. Click any row to drill down into which assets are most affected by that specific event.

EVENT TABLE EXAMPLE

Top impactful events

Event5M60MVOL
🇺🇸 Non-Farm Payrolls0.45%0.72%4.2x
🇺🇸 CPI YoY0.32%0.58%3.1x
🇺🇸 Fed Rate Decision0.28%0.45%2.8x

Filtering and Sorting

Use filters to focus your analysis on the most relevant data.

ASSET TYPE FILTER

Filter by asset type: ALL shows everything, FOREX shows only currency pairs, CRYPTO shows Bitcoin, Ethereum, and other cryptocurrencies. This helps compare event sensitivity across asset classes.

SORTING OPTIONS

Sort options let you rank assets by different metrics: 60-minute return (default for balanced view), 5-minute return (for immediate reaction), 1-day return (for extended moves), or volatility spike (for risk assessment).

FILTER CONTROLS

Available filter options

Detail Modals

Click any asset card or event row to open detailed breakdowns.

ASSET DETAIL

Asset detail modal shows all events that impact the selected asset, ranked by magnitude. See which economic releases move your favorite pair the most and how consistently they deliver significant moves.

EVENT DETAIL

Event detail modal shows all assets impacted by the selected event. Compare how the same NFP release affects EUR/USD vs GBP/USD vs BTC. Find the most reactive asset to trade for each event.

TIP

Click any asset card or event row to drill down into detailed breakdowns. This reveals the complete relationship between assets and events.

Color Coding System

Colors help you quickly identify impact magnitude and volatility levels.

RETURN MAGNITUDE

RED (≥0.5%): High impact moves that require careful risk management. Expect significant price action.
ORANGE (0.2-0.5%): Medium impact - solid moves but more manageable volatility.
GREEN (<0.2%): Lower impact - these events rarely cause major disruption.

VOLATILITY SPIKE

RED (≥3x): Extreme volatility spike - very high risk, widen stops significantly.
ORANGE (2-3x): High volatility - above normal conditions, adjust position size.
CYAN (1.5-2x): Moderate increase - noticeable but manageable volatility.
GREEN (<1.5x): Normal to slightly elevated volatility.

Trading with Impact Data

Use historical impact data to prepare for upcoming events.

Check the impact profile before any major event to set realistic expectations

Use VOL_SPIKE to adjust position size - higher spikes need smaller positions

Review MAX_EXCURSION for stop loss placement - place stops beyond typical event moves

High SIG_MOVE % events are prime candidates for straddle or breakout strategies

Compare 5m vs 60m returns to understand if reactions extend or reverse

Use DIR_ACC to assess if trading the surprise direction is historically profitable

For high-impact events, consider waiting for the 5-minute dust to settle before entering

Cross-reference with upcoming calendar events to identify tradeable setups

Assets with high 1-day returns are good for swing trades around events

Use event-asset details to find the most reactive pair for each event type

WARNING

Historical patterns don't guarantee future results. Always use proper risk management and adapt to current market conditions.

Frequently Asked Questions

How much historical data is analyzed?

We analyze several years of historical event data with price reactions for major forex pairs and cryptocurrencies. The "events count" shows exactly how many instances were analyzed for each asset-event combination.

What is "absolute return"?

Absolute return ignores direction and measures the magnitude of the move. A +0.5% move and -0.5% move both count as 0.5% absolute return. This is important because we care about volatility opportunity, not just direction.

Why do crypto moves look larger than forex?

Cryptocurrencies are inherently more volatile than major forex pairs. A 0.5% move on EUR/USD is significant, while BTC might move 2-3% on the same event. The impact colors are calibrated differently for each asset class.

How do I use this for upcoming events?

Before an event like NFP, check its historical impact profile. See which assets react most, how long moves typically last, and whether reactions are directionally consistent. Then use this data to select assets and size positions appropriately.

What counts as a "significant move"?

Significant move thresholds vary by asset type: typically >0.5% for major forex pairs and >2% for cryptocurrencies. The SIG_MOVE % shows what percentage of events crossed this threshold historically.

Should I trade every high-impact event?

Not necessarily. High impact means high volatility, which increases both opportunity and risk. Focus on events where you have an edge in interpreting the data or where directional accuracy is historically high.

Pro Tips

1.

Compare the same event across different countries - US CPI vs UK CPI impact profiles differ significantly

2.

Look for events with high 5m returns but lower 60m returns - these often reverse quickly

3.

Events with high DIR_ACC above 60% are candidates for directional trading strategies

4.

Use the direction bias bar to identify structural tendencies (e.g., some pairs consistently spike up on specific data)

5.

Cross-reference impact data with the economic calendar for complete event preparation

6.

Note which events have low SIG_MOVE % - you can potentially hold through these with normal stops

7.

The most impactful events change over time - Fed decisions matter more during rate cycles

8.

Consider avoiding trading during extreme volatility spikes (>4x) unless highly experienced

9.

Use event detail modal to find arbitrage opportunities - some assets overreact vs others

10.

Build a personal watchlist of events that consistently deliver your preferred trading conditions

Next: Economic Calendar Guide

Learn how to track upcoming events and prepare for market-moving announcements

Read Guide