OBV-MACD Strategy
Apply MACD logic to On-Balance Volume — combining volume confirmation with trend signals. Volume tells you the truth that price hides.
Quick Facts
- Type:
- Volume · Trend Following
- Plan:
- Pro
- Asset Classes:
- Crypto · Stocks · ETF · Commodities(not Forex)
- Indicators:
- OBV · MACD
Platform Backtest
ⓘ- CAGR
- -4.9%
- Win Rate
- 36%
- Max DD
- -51%
Default parameters · BTCUSDT · 1d · 4 years · B&H +18.1%
How It Works
On-Balance Volume (OBV) is a cumulative running tally of trading volume: when price closes higher than the previous candle, the day's volume is added; when it closes lower, it's subtracted. The result is a single curve that reflects whether buying or selling pressure dominates over time.
This strategy then applies a MACD-style transformation to the OBV: two EMAs of the OBV are computed (a fast one and a slow one). When the fast EMA crosses above the slow EMA and the slope of the signal line is positive, a buy signal fires. When the cross reverses or slope flips negative, a sell signal fires.
The combined logic gives you two independent confirmations: trend (the EMA cross) and momentum (the slope). Compared to plain MACD on price, this version is grounded in actual volume — meaning fake breakouts on low volume tend to get filtered out before they trigger entries.
Note: This strategy needs more historical data than others (500-candle warmup vs. the standard 200) because the cumulative OBV needs time to stabilise before the EMAs become meaningful.
This is the v2 version, which precisely matches the Pine-script reference implementation and supersedes the original v1 (which had small calculation differences).
Entry & Exit Rules
Entry
- ●OBV fast EMA crosses above OBV slow EMA
- ●Slope of the signal line is positive
- ●Position is currently flat
Exit
- ●Fast EMA crosses below slow EMA, OR slope flips negative
- ●Position is currently long
Parameters
| Name | Default | Range | Description |
|---|---|---|---|
| OBV EMA Length | 1 | 1–50 | Smoothing applied directly to the OBV before MACD computation. Default 1 = no smoothing. |
| Fast MA Length | 9 | 2–50 | Fast EMA period applied to OBV. Lower = more reactive. |
| Slow MA Length | 26 | 5–200 | Slow EMA period — the structural trend reference. |
| Slope Lookback | 2 | 1–20 | Number of candles for slope calculation on the signal line. |
Live Backtest
BTCUSDT · 1d · 4 years · default parameters · refreshed daily
Run with my own parameters →Pseudo-Code
expand
// Compute OBV
obv = cumulative_sum(
if close > prev_close: volume
if close < prev_close: -volume
else: 0
)
// Apply MACD to OBV
fast_ema = EMA(obv, ma_length)
slow_ema = EMA(obv, slow_length)
signal = fast_ema - slow_ema
slope = signal[now] - signal[now - slope_length]
// Entry
if fast_ema crosses_above slow_ema AND slope > 0:
if position.is_flat:
BUY
// Exit
if fast_ema crosses_below slow_ema OR slope < 0:
if position.is_long:
SELLStrengths & Weaknesses
Strengths
- ●Volume-confirmed signals — filters fake price breakouts
- ●Two independent triggers (cross + slope) reduce noise
- ●Works particularly well on high-volume liquid assets
- ●Pine-precise v2 implementation aligns with TradingView baselines
Weaknesses
- ●Doesn't work on Forex (no centralised volume)
- ●500-candle warmup means less usable history vs. 200-candle strategies
- ●Volume manipulation/wash-trading on smaller exchanges can distort signals
- ●More parameters to tune means easier to overfit
Frequently Asked Questions
What happened to OBV-MACD v1?
v1 had small calculation differences from the Pine reference implementation. We kept v1 in the engine for backward-compatibility with existing run history but disabled it for new backtests in April 2026. v2 is the canonical version going forward — same indicator, more precise math.
Why doesn't this work on Forex?
OBV needs trustworthy volume data, but Forex has no centralised exchange — each broker reports its own volume, and aggregate data is not reliable. Stick to crypto, stocks, ETFs, and commodity ETFs where exchange volume is meaningful.
What's the deal with the 500-candle warmup?
OBV is cumulative — it has no fixed scale. The first values are arbitrary baselines. EMAs need enough history for the cumulative OBV to be meaningful. We use 500 candles before the trading start date to ensure stable values; this means the strategy needs ~1.5 years of pre-history on daily charts.
Related Strategies
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Two EMAs plus an ATR-based neutral zone — like the commercial Larsson Line, but tunable, transparent, and backtested. Choose your bias.
WMA Trend Signal
Two weighted moving averages crossing — recent candles weight more, signals fire faster than SMA-based crosses. Validated on BTC weekly.
Stoch-RSI / SMA Cross
A faster RSI variant — the Stochastic RSI crosses its own moving average. More trades, more sensitivity, ideal for active markets.
Don't want to backtest yourself?
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