OBV Trend

How this strategy trades, what it scored, and the measurements the score was read from: every symbol and timeframe, on real and resampled history.

At A Glance

30/ 100
Total Score
37of 52
Overall Rank
7of 10
In Momentum
96,449
Trades Taken

Across 24 runs of real history, one for every market and bar size it trades, this strategy scored highest on ETHUSDT · 1d (75 / 100) and lowest on BTCUSDT · 30m (1 / 100).

What A $100.00 Stake Became

Score
Total Score Mean Of Real And Resampled 30 / 100
Real Data 34 / 100
Resampled Data 27 / 100
Overall Rank Top 72% 37 of 52
Rank In Momentum Top 70% 7 of 10
By Metric
Beats Hold Real 31 · Resampled 33 32 / 100
Risk Adjusted Real 36 · Resampled 25 30 / 100
Profitability Real 46 · Resampled 29 38 / 100
Win Rate Real 14 · Resampled 13 13 / 100
Fee Efficiency Real 31 · Resampled 31 31 / 100

Where It Works

How It Trades

  1. Keep a running total of volume: add the whole bar's volume when it closes up, subtract it when it closes down. That total is On-Balance Volume.
  2. Buy when OBV crosses above its own 20-bar average: buying volume is accumulating faster than it has been recently, which Granville argued tends to lead price.
  3. Sell when OBV falls back below that average. The comparison is against its own average rather than a fixed level because OBV's raw value depends entirely on where the count began.

Example Strategy

Pine Script

Paste it into TradingView’s Pine Editor to run these rules on any chart.

//@version=6
// OBV Trend — sort.finance. Fills at the signal bar's close, 0.02% fee a side,
// whole account per trade, as the backtest. History and indicator warm-up
// differ from the site's, so expect close to the same trades, not identical.
strategy("OBV Trend", overlay=false,
     initial_capital=100, default_qty_type=strategy.percent_of_equity,
     default_qty_value=100, commission_type=strategy.commission.percent,
     commission_value=0.02, process_orders_on_close=true, pyramiding=0)

// The bar the current position opened on, and the bar the last one closed on.
var int entryBar = na
var int exitBar = -1

// ── Signals ──────────────────────────────────────────────────────────────
obv = ta.obv
average = ta.sma(obv, 20)
above = obv > average
enterNow = above and not above[1]
exitNow = not above and above[1]

// ── Orders ───────────────────────────────────────────────────────────────
// Open on the first bar the entry holds while flat; close on the first
// later bar the exit holds; never reopen on the bar a position closed.
inTrade = strategy.position_size != 0
if inTrade and bar_index > entryBar and exitNow
    strategy.close("Long")
    exitBar := bar_index
else if not inTrade and bar_index > exitBar and enterNow
    strategy.entry("Long", strategy.long)
    entryBar := bar_index

// ── Drawing ──────────────────────────────────────────────────────────────
plot(obv, "OBV", color=#4d8dff)
plot(average, "OBV SMA 20", color=#e0a03a)
Show

Total Score

34 27 / 100

Score = 0.25 Sbeats_hold + 0.35 Srisk + 0.20 Sprofit + 0.10 Swin + 0.10 Sfee

One 0–100 number per symbol × timeframe cell. Every strategy is run on every cell, on both real and resampled price history, and the total beside its name is this number averaged over all of them.

Beats Hold

25% of the total

31 33 / 100

Sbeats_hold = clamp0100(50 + 25 log2EnetEhold)

Compares final net equity to what simply holding the asset would have returned over the same window. 50 is break-even; every doubling versus buy-and-hold adds 25 points.

Read From Net Equity · Price Change %

Net Equity

The account after fees, trade by trade.

Price Change %

What holding the asset made over the same stretch: the hold the account is measured against.

Risk Adjusted

35% of the total

36 25 / 100

Srisk = clamp0100(55 · Sharpe + 5)

A linear read on the rolling annualized Sharpe ratio at the last trade: 0 Sharpe scores 5, roughly 1.7 Sharpe maxes out the scale.

Read From Rolling Sharpe

Rolling Sharpe

The account's annualized Sharpe ratio at each trade's close.

Profitability

20% of the total

46 29 / 100

Sprofit = clamp0100(20 log2EnetE0)

How many times the starting cash multiplied, on a log scale: each doubling of capital is worth 20 points.

Read From Net Equity · Cumulative P&L %

Net Equity

The account after fees, against the cash it started with.

Cumulative P&L %

Not in the formula: every trade's return added up rather than compounded.

Win Rate

10% of the total

14 13 / 100

Swin = clamp0100(2.5 (W% − 20))

The share of trades that closed profitable, rescaled so a 20% win rate scores 0 and a 60% win rate maxes out the scale.

Read From Win Rate % · Trades

Win Rate %

The share of trades so far that closed in profit.

Trades

How many trades that share is taken over.

Fee Efficiency

10% of the total

31 31 / 100

Sfee = clamp0100(Enet/Egross − 0.40.6 × 100)

The share of the fee-free (gross) result that survives after fees: 60% survival scores 0, keeping the full gross result scores 100.

Read From Equity, Net And Gross · Cumulative Fees

Equity, Net And Gross

The account with the fees taken and, fainter, without them.

Cumulative Fees

Not in the formula: what the exchange took, which is the gap between net and gross above.