CryptoRules study
Bitcoin and Ethereum DCA: rules, real charts and when the strategy fails
- Method
- Allocation
- Timeframe
- 1M
- Data period
- 2018–2026
- Measured result
- $100 × 1M
- Maximum drawdown
- —
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Strategies
Rule-based Crypto and Forex strategies explained with real market data, exact conditions and evidence you can inspect.
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Compare strategy research
Filter twelve studies by market and compare rules, sample period, costs, outcome and drawdown. Different methods are not ranked as if their risks were identical.
Start with the question in a study, then follow its rules, real example and costs. A negative result is useful too: it shows when an appealing trading idea did not survive testing.
ForexRules study
EMA 200 + ADX + ATR Forex trend strategy: exact rules on a real EUR/USD chart
- Method
- Trend
- Timeframe
- H1
- Data period
- 2026
- Measured result
- 1,000 × H1
- Maximum drawdown
- —
CryptoPositive
Bitcoin 55-day breakout strategy: an eight-year test with SMA 200 and ATR
- Method
- Breakout
- Timeframe
- 1D
- Data period
- 2018–2026
- Measured result
- +143.2%
- Maximum drawdown
- -39.1%
ForexMixed
EUR/USD London Breakout: a 550-trade test with real M15 data
- Method
- Breakout
- Timeframe
- M15
- Data period
- 2024–2026
- Measured result
- +4.75R
- Maximum drawdown
- -24.5%
CryptoMixed
BTC and ETH portfolio rebalancing: calendar, threshold or buy and hold?
- Method
- Allocation
- Timeframe
- 1D
- Data period
- 2018–2026
- Measured result
- +554.7%
- Maximum drawdown
- -87.4%
ForexMixed
Carry trade in Forex: how rates, currency moves and rollover combine
- Method
- Interest differential
- Timeframe
- 1D
- Data period
- 2018–2026
- Measured result
- +0.49%
- Maximum drawdown
- -13.0%
CryptoPositive
Bitcoin and the 200-day moving average: can a trend filter reduce drawdown?
- Method
- Trend
- Timeframe
- 1D
- Data period
- 2018–2026
- Measured result
- +1,066.2%
- Maximum drawdown
- -64.0%
ForexNegative
EUR/GBP mean reversion: do Bollinger Bands and RSI work on H1?
- Method
- Mean reversion
- Timeframe
- H1
- Data period
- 2024–2026
- Measured result
- -14.53%
- Maximum drawdown
- -21.8%
CryptoMixed
Negative Bitcoin funding rates: do rebounds really follow?
- Method
- Event study
- Timeframe
- 8H
- Data period
- 2020–2026
- Measured result
- 72h +0.462%
- Maximum drawdown
- -13.575%
ForexNegative
USD/JPY Tokyo opening-range breakout: a complete M15 test
- Method
- Breakout
- Timeframe
- M15
- Data period
- 2024–2026
- Measured result
- -30.15R
- Maximum drawdown
- -31.8%
CryptoMixed
BTC or ETH each month? An eight-year momentum rotation test
- Method
- Allocation
- Timeframe
- 1D / 1M
- Data period
- 2018–2026
- Measured result
- +2,098.1%
- Maximum drawdown
- -71.5%
ForexNegative
EUR/USD London false breakout: does fading the Asian range work?
- Method
- Mean reversion
- Timeframe
- M15
- Data period
- 2024–2026
- Measured result
- -20.22R
- Maximum drawdown
- -26.7%
Published strategy research
Published strategy research
BTC or ETH each month? An eight-year momentum rotation test
The aim is to hold whichever of BTC and ETH had the stronger recent trend, and avoid both when neither had a positive 90-day return. The rule does not predict tomorrow’s price.
Open article →EUR/USD London false breakout: does fading the Asian range work?
Here we test whether a move that breaks the quiet overnight range but quickly returns inside it tends to travel back towards the range’s middle. This is a hypothesis about price behaviour, not an automatic buy signal.
Open article →Negative Bitcoin funding rates: do rebounds really follow?
An event study of 7,374 BTCUSDT funding observations and 280 independent negative-rate episodes from 2020 to 2026.
Open article →USD/JPY Tokyo opening-range breakout: a complete M15 test
A reproducible test of the Tokyo opening-range breakout on real USD/JPY M15 BID candles, including the next-bar execution rule and modelled costs.
Open article →Bitcoin and the 200-day moving average: can a trend filter reduce drawdown?
A transparent Bitcoin SMA 200 strategy test with real daily candles, next-day execution, trading fees, equity curves and false-signal analysis.
Open article →EUR/GBP mean reversion: do Bollinger Bands and RSI work on H1?
A real-data EUR/GBP H1 test of Bollinger Bands 20/2 and RSI 14 with next-bar entries, ATR stops, trading costs and drawdown.
Open article →BTC and ETH portfolio rebalancing: calendar, threshold or buy and hold?
A real-data comparison of four ways to manage a 50/50 Bitcoin and Ethereum portfolio, including fees, drawdowns and exact rebalancing rules.
Open article →Carry trade in Forex: how rates, currency moves and rollover combine
A real EUR/USD case study separating the spot move, the gross Fed–ECB rate differential and the combined result of a simplified carry model.
Open article →Bitcoin and Ethereum DCA: rules, real charts and when the strategy fails
A practical Bitcoin and Ethereum dollar-cost averaging framework using real Binance daily candles, fixed monthly purchases and transparent calculations.
Open article →EMA 200 + ADX + ATR Forex trend strategy: exact rules on a real EUR/USD chart
A transparent EUR/USD H1 trend framework using real hourly candles, EMA 200, ADX 14, directional movement and ATR-based exits.
Open article →Bitcoin 55-day breakout strategy: an eight-year test with SMA 200 and ATR
A reproducible Bitcoin breakout study using real daily candles, a 55-day channel, SMA 200 regime filter, ATR stops, fees and an Ethereum robustness check.
Open article →EUR/USD London Breakout: a 550-trade test with real M15 data
A session-aware EUR/USD London Breakout study using 67,287 real M15 bid candles, Europe/London daylight saving time, explicit exits and one-pip costs.
Open article →