AlgoHive
Examples

Rate Cut = Long BTC

A simple prediction market strategy that longs BTC when Fed rate cut odds are high.

⚠️Warning

Educational Purpose Only — This strategy example is for demonstration and learning purposes only. It is not financial advice. Prediction markets and cryptocurrency trading involve significant risk. Always do your own research before trading.

This strategy demonstrates how to use prediction market data to inform crypto trading decisions. The thesis is simple: Fed rate cuts are bullish for Bitcoin.

Visual Overview

Rate Cut = Long BTCPrediction MarketLong BTC when Fed rate cut odds are high (>60%)
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The Concept

Thesis: When prediction markets show a high probability of a Federal Reserve rate cut, risk assets like Bitcoin tend to benefit. Lower interest rates mean cheaper borrowing and more liquidity in the system.

Entry: Long BTC when rate cut odds exceed 60%

Exit: Close the position when odds drop below 40%, or hit stop loss / take profit

Strategy Setup

Data Sources

This strategy uses two data sources:

Data SourceTypeDetails
fedPredictionKalshi Fed Rate Cut market (yes_odds, no_odds)
btcExchangeBTC-USD on 4h timeframe

The prediction market data provides real-time odds from Kalshi's Fed decision markets.

Analysis Block: signal

Create an Advanced Block with these outputs:

odds: fed.yes_odds
high_odds: odds > 0.60
low_odds: odds < 0.40

What each output does:

  • odds — Current probability of a rate cut (0 to 1)
  • high_odds — True when rate cut probability exceeds 60%
  • low_odds — True when rate cut probability drops below 40%

Entry Rule

SettingValue
DirectionLong
Marketbtc
Whensignal.high_odds

Risk Management

Stop Loss:

SettingValue
TypeStop Loss
Level5% (percentage)

Take Profit:

SettingValue
TypeTake Profit
Level15% (percentage)

Conditional Exit:

SettingValue
TypeExit
Whensignal.low_odds

This exit rule closes the position if our thesis is invalidated (odds drop significantly).

Risk Settings

SettingValue
Position Sizing2% risk per trade
Max Positions1

Why This Works

  1. Forward-looking signals — Prediction markets aggregate information from many participants, often pricing in rate changes before they happen
  2. Clear thesis — Simple cause-and-effect relationship between Fed policy and crypto
  3. Defined invalidation — If odds drop, our thesis is wrong and we exit

Variations

Add Price Confirmation

Only enter when BTC is also showing strength:

price_above_ma: btc.close > EMA(btc.close, 50)
entry: signal.high_odds AND price_above_ma

Momentum Entry

Enter on rising odds rather than absolute level:

odds_1d_ago: odds[6]  # 6 bars = 1 day at 4h
odds_rising: odds - odds_1d_ago > 0.05
entry: odds > 0.50 AND odds_rising

Multi-Asset

Apply the same signal to multiple assets:

# Add ETH data source
eth_entry: signal.high_odds
sol_entry: signal.high_odds

Tips

  1. Monitor FOMC dates — Odds can move quickly around Fed meetings
  2. Watch for leg expiration — Prediction markets have different contracts for different meeting dates
  3. Consider volume — Higher volume in prediction markets = more reliable signal
  4. Backtest across cycles — Rate cut cycles don't happen often, historical data is limited

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