Paper Trading: Wetin E Prove and Wetin E No Fit Test

Paper trading na to place fake order for broker practice account, with real market price and fake money. E go show you say you fit handle order ticket, follow your written plan, and keep record. Two things no dey tested inside simulator: the cost of crossing spread on every fill, and how person go behave when the money for screen na their own.

Wetin paper trading dey prove

Practice account na like mechanic lab. Inside, beginner dey learn wetin limit order dey do when price dey move away from wetin dem state, how stop loss dey behave for fast market, wetin $2,000 position go look like beside $20,000 one, and how written journal go turn hunch to rule wey fit test. Lessons like dat dey transfer well. Order ticket for funded account na same ticket.

Practice log dey also show plan problem cheap. Strategy wey no get exit rule, sizing wey put one third of account for one stock, routine wey need four screen for working hour: all these one go show for few weeks of simulated trading, for price of zero.

Wetin simulator no dey charge you

Most simulator dey fill order for last trade price or for middle of quote. Live marketable order dey pay ask when e dey buy and collect bid when e dey sell, and the gap between these two price, the bid-ask spread, dey with whoever post the quote.

Fake calculation go make the size of wetin missing clear. Stock wey get $20.00 bid and $20.05 ask get midpoint of $20.025. Simulator wey dey fill for midpoint go record entry for $20.025. Live buy go fill for $20.05, two and half cent worse, and exit go give up other half of the width. One round trip, five cent per share, for position wey practice log record as free.

That cost no dey same for all stock. Panel below dey measure the median quoted spread in basis points of midpoint, where one basis point na one hundredth of one percent, across six popular tickers for the most recent completed sessions wey dey file as of July 2026.

SELECT ticker,
       round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) / (toFloat64(ask_price + bid_price) / 2), bid_price > 0 AND ask_price > bid_price) * 10000, 2) AS typical_spread_bps,
       round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price), bid_price > 0 AND ask_price > bid_price) * 100, 1) AS typical_spread_cents,
       round(count() / 1e6, 1) AS quote_updates_m
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'TSLA', 'F')
  AND sip_timestamp >= toDateTime(today() - 10)
  AND sip_timestamp < toDateTime(today() - 3)
  AND (toHour(sip_timestamp) * 60 + toMinute(sip_timestamp)) BETWEEN 810 AND 1199
GROUP BY ticker
ORDER BY typical_spread_bps

The tight end of the board, SPY, measure 0.27 bps, a median wey dey rest on 18.8 million quote updates. The wide end, F, measure 6.96 bps, a quoted gap of 1 cents. For $10,000 order, one basis point na one dollar. Practice log of 200 round trips carry real bill wey practice log itself no print. Wetin e cost to trade stock dey price that ladder across wider board.

Fill quality dey change with time

Simulator dey give same fill for 9:31 a.m. and 1:00 p.m. Live quote no dey. Grouping every consolidated quote update for one mid-priced stock into half-hour buckets dey show the shape of session, wey dey measure over same recent window.

SELECT formatDateTime(toStartOfInterval(toTimeZone(sip_timestamp, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
       round(quantileExactIf(0.5)(toFloat64(ask_price - bid_price) / (toFloat64(ask_price + bid_price) / 2), bid_price > 0 AND ask_price > bid_price) * 10000, 2) AS spread_bps,
       round(count() / 1e6, 2) AS quote_updates_m
FROM global_markets.cache_stocks_quotes
WHERE ticker = 'F'
  AND sip_timestamp >= toDateTime(today() - 10)
  AND sip_timestamp < toDateTime(today() - 3)
  AND (toHour(sip_timestamp) * 60 + toMinute(sip_timestamp)) BETWEEN 810 AND 1199
GROUP BY et_time
ORDER BY et_time

The 09:30 bucket, the first half hour of regular session, measure 7.01 bps. The 12:30 bucket measure 6.94 bps, and the closing bucket for 15:30 measure 6.98 bps. Practice strategy wey dey trade first fifteen minutes and practice strategy wey dey trade midday dey priced different for funded account, and same for most simulators.

How much market one practice window cover

Four weeks of practice sample about twenty sessions. Panel below dey count every regular session of broad market fund over five calendar years, wey dey measure open to close, with the share of sessions wey close above their own open and the size of typical daily move.

SELECT toString(y) AS year,
       count() AS sessions,
       round(100 * countIf(ret > 0) / count(), 1) AS pct_up_sessions,
       round(quantileDeterministic(0.5)(abs(ret) * 100, cityHash64(d)), 2) AS median_abs_move_pct,
       round(min(ret) * 100, 2) AS worst_session_pct,
       round(max(ret) * 100, 2) AS best_session_pct
FROM (
    SELECT d,
           toYear(d) AS y,
           toFloat64(session_close) / toFloat64(session_open) - 1 AS ret
    FROM (
        SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
               argMin(open, window_start) AS session_open,
               argMax(close, window_start) AS session_close
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY'
          AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2021-01-01')
          AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2025-12-31')
          AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
               + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
        GROUP BY d
    )
    WHERE session_open > 0
)
GROUP BY year
ORDER BY year

For 2021 the fund trade 252 regular sessions, 54.8% of them close above their own open, with a median absolute move of 0.38%. For 2025 the same share run 52%, the median absolute move 0.46%. The extremes of that year dey far outside median: weakest session move -4.81% open to close, strongest 10.12%.

Read row counts as coverage question. Twenty session practice window na roughly eight percent of one year, and sessions wey e happen to contain dey decide wetin log talk. Practicing for quiet period and practicing for violent period dey produce different numbers from same rule set. Traders wey want verdict instead of sample dey run practice log for several months, and dey keep am running for side after real money start.

Metrics wey dey rank pass win rate

Practice log dey report win rate first, and win rate na the least informative line for am. Consider fake record of ten closed trades: nine wins of $50 each and one loss of $600. Win rate dey read 90%. Account dey down $150.

• Maximum drawdown, the deepest peak to trough fall for account value, na the number wey dey describe wetin strategy dey ask person to sit through.
• Average win against average loss, paired with win rate, give expectancy per trade, wey na the figure wey equity curve dey follow.
• Trade count, where log of twelve trades dey measure luck and log of two hundred dey start to measure rule.
• Cost per round trip, wey dem take from spread panels above instead of from simulator's fee field, wey often dey set to zero.

Sizing the first real trades

Common convention among trading educators na graduated start: smallest workable position size, same written rules wey practice log use, and fixed number of trades before size change at all. One share of $200 stock put $200 for risk and produce same emotional data wey hundred shares produce, at one percent of exposure. Mechanics dey carry over from simulator, discipline no dey, and small size na how the second one dey measure.

Size also dey interact with cost. Fixed per trade frictions dey land heavier on small orders, and spread dey land proportionally same at every size. Trader wey plan forty small trades per month dey price forty round trips, not one. Readers wey dey weigh rules based alternative to discretionary entries fit compare with dollar-cost averaging, where schedule dey replace decision.

FAQ

Paper trading dey work well?

E dey work for wetin e dey measure: order mechanics, plan structure, and discipline of journaling. E no dey measure fill quality or emotion. Practice log and funded log of same rules over same period usually dey different, and the two gaps above na where the difference dey.

How long people dey paper trade before use real money?

No standard interval dey. Useful frame na sample size instead of calendar time: one month cover roughly twenty sessions, and broad market fund trade 250 sessions for 2025 alone. Many traders dey run practice log for several months and keep am running alongside small funded account.

Why paper trading results better than real results?

Three mechanical differences dey account for most of the gap. Simulated orders often dey fill at midpoint or last trade instead of bid or ask, simulated size no dey move quote, and simulated loss no carry emotional weight. Paper trader dey hold through drawdowns wey funded trader dey close early.

You fit paper trade options same way?

Mechanics dey carry over, and fill gap dey wider. Options quotes usually dey far wider in percentage terms than stock quotes, assignment and early exercise rarely dey appear for simulator, and expiration handling dey vary between practice platforms. Treat simulated options log as mechanics test.

Wetin paper trading no dey teach?

Slippage, borrow availability for short positions, partial fills on bigger orders, and behaviour of person wey dey watch real money fall. Those four na the standing gaps between practice log and funded account.

Every panel above dey ship with exact SQL wey produce am. Open one, swap for tickers from your own practice log, and price your fills on Strasmore terminal.