The Final Tape
Trading expectancy is the average amount you expect to win or lose per trade, usually expressed in R-multiples or dollars. Positive expectancy means your process has edge over many trades; negative expectancy means you should stop sizing up until the process is fixed.
Use the free calculator below for a quick edge check — then know when your edge is real, fading, or destroyed by exits with expectancy broken down by setup and regime.
Traders who calculate expectancy manually once a month and want continuous, setup-level expectancy tied to exit quality and regime filters.
Plug in win rate, average win, and average loss to see expectancy per trade, projected P&L, profit factor, and full Kelly stake. Journal modules below still compute setup- and regime-level expectancy from your tape.
Expectancy per trade
$50.00
Over 100 trades that adds up to about $5,000 in expected profit and loss, before fees and slippage.
Positive expectancy. At a 1.50:1 reward-to-risk and a 40.0% breakeven win rate, this edge compounds over many trades — before fees and slippage.
Profit factor is total expected wins divided by total expected losses at your win rate. Above 1.0 means more dollars won than lost on average.
Kelly stake (full) is the theoretical fraction of bankroll to risk per trade for maximum long-run growth. Most traders use a fraction of Kelly (for example quarter Kelly) because full Kelly is aggressive.
Results ignore fees, slippage, and uneven trade sizing. This is an educational tool, not financial advice. Past or modeled results do not guarantee future performance.
The free calculator above is a starting point. Expectancy per trade (and per setup) should update as you log results. A one-off spreadsheet misses drift: the same “0.4R expectancy” can hide that your best setup degraded while another improved.
Charter Elite and Playbook views let you compare expectancy by setup, volatility regime, and time window — so you stop averaging winners and losers into one misleading number.
The Oracle ranks exit rules by how much expectancy they would have recovered on completed trades. You see whether exits are the bottleneck — not just entries.
Dashboard, simulation, and AI audits use the same definitions for win rate, R, and PnL. You do not fight three versions of expectancy from three tools.
Walk through populated analytics in read-only mode to see how expectancy displays on real trade sets — then journal your own history.
Expectancy per trade ≈ (Win rate × Average win) − (Loss rate × Average loss). In R-terms: E = (W% × Avg R win) + (L% × Avg R loss), where losses are negative. Example: 45% win rate, +2R average win, −1R average loss → E = 0.45×2 + 0.55×(−1) = 0.35R per trade.
Averaging all setups into one expectancy hides a toxic pattern. Recalculating expectancy once a month on stale data misses drift. Ignoring fees and slippage inflates edge. Treating a short hot streak as structural edge leads to oversizing.
Expectancy framing aligns with classical risk literature (e.g. Vince, Portfolio Management Formulas) and practitioner trade journals; The Final Tape applies it continuously on your completed-trade tape.
These product modules run on your completed trades, one canonical tape, no spreadsheet re-entry.
Yes. Use the interactive calculator on this page for a quick estimate from win rate, average win, and average loss. Inside The Final Tape, expectancy is also computed continuously across modules from your completed trades by setup and regime.
Yes. Create a free account to inspect a fully populated, read-only environment. Every major module is visible — no credit card required. Upgrade when you are ready to journal your own trades.
Expectancy per trade ≈ (Win rate × Average win) − (Loss rate × Average loss). In R-terms: E = (W% × Avg R win) − (L% × 1R). The calculator also shows reward-to-risk, breakeven win rate, profit factor, and full Kelly. In the journal, expectancy is derived from logged outcomes with the same definitions in Dashboard and analytics modules.
No. The Final Tape is a performance operating system for review, analytics, and simulation. You log or import completed trades; the platform does not connect to brokers for execution.
Yes. That is the point of setup-level views — stop trading negative-expectancy patterns even if overall account stats look acceptable.
Last updated: 2026-08-29