BTCUSDT
- 30m
- 1h
- 4h
- 1d
How this strategy trades, what it scored, and the measurements the score was read from: every symbol and timeframe, on real and resampled history.
Across 24 runs of real history, one for every market and bar size it trades, this strategy scored highest on SOLUSDT · 4h (88 / 100) and lowest on XRPUSDT · 4h (26 / 100).
| Total Score | Mean Of Real And Resampled | 60 / 100 |
| Real Data | 64 / 100 | |
| Resampled Data | 55 / 100 | |
| Overall Rank | Top 16% | 8 of 52 |
| Rank In Trend | Top 29% | 8 of 28 |
| Beats Hold | Real 65 · Resampled 67 | 66 / 100 |
| Risk Adjusted | Real 56 · Resampled 44 | 50 / 100 |
| Profitability | Real 79 · Resampled 59 | 69 / 100 |
| Win Rate | Real 30 · Resampled 28 | 29 / 100 |
| Fee Efficiency | Real 86 · Resampled 86 | 86 / 100 |
Paste it into TradingView’s Pine Editor to run these rules on any chart.
//@version=6
// Faber Timing Model — 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.
// The review dates count from the first bar on the chart, and TradingView's
// history starts somewhere other than the backtest's, so the reviews here
// fall on different bars from the site's.
strategy("Faber Timing Model", overlay=true,
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 ──────────────────────────────────────────────────────────────
average = ta.sma(close, 210)
// Reviewed once a "month" — every 21st bar from the 210th on — and
// only a change between two reviews trades.
review = bar_index >= 209 and (bar_index - 209) % 21 == 0
var bool reviewed = false
var bool wasAbove = false
enterNow = false
exitNow = false
if review
nowAbove = close > average
if reviewed
enterNow := nowAbove and not wasAbove
exitNow := not nowAbove and wasAbove
wasAbove := nowAbove
reviewed := true
// ── 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(average, "SMA 210", color=#4d8dff)
! These are readings from a backtest that keeps running, not recommendations and not advice. Nobody here knows your position, your costs or your risk. Whatever you do with your money is yours alone to answer for.
BTCUSDT
ETHUSDT
SOLUSDT
BNBUSDT
DOGEUSDT
XRPUSDT
ALL
64 55 / 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.
65 67 / 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.
The account after fees, trade by trade.
What holding the asset made over the same stretch: the hold the account is measured against.
56 44 / 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.
The account's annualized Sharpe ratio at each trade's close.
79 59 / 100
Sprofit = clamp0100(20 log2EnetE0)
How many times the starting cash multiplied, on a log scale: each doubling of capital is worth 20 points.
The account after fees, against the cash it started with.
Not in the formula: every trade's return added up rather than compounded.
30 28 / 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.
The share of trades so far that closed in profit.
How many trades that share is taken over.
86 86 / 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.
The account with the fees taken and, fainter, without them.
Not in the formula: what the exchange took, which is the gap between net and gross above.