Find your statistical edge
and exploit the markets.

Backtest a strategy, auto-record the trade, then replay the setup with your chart drawings intact.

T traderizz

Backtesting/BTC breakout study

SessionTrade Replay

Session ready

BTCUSDT · 509:30 10:00 10:30 11:00 11:30

01 Draw right on the chart02 Your trade auto-records03 Reopen the same trade—with drawings

Your stats

Go beyond win rate. Understand your edge.

Explore trade-level and day-level performance, streaks, holding times, risk, and more.

Best month+4.2R

Lowest month−3.1R

Average month+1.1R

Traderizz Score68/100

Trade performance

23 metrics

Total R: +12.8R
Average daily volume: 2.27 trades
Average winning trade: +1.10R
Average losing trade: −1.29R
Total number of trades: 127
Number of winning trades: 74
Number of losing trades: 53
Number of break even trades: 0
Max consecutive wins: 7 trades
Max consecutive losses: 4 trades
Largest profit: +3.20R
Largest loss: −2.10R
Longs win %: 61.54%
Shorts win %: 54.10%
Average hold time (All trades): 42 minutes
Average hold time (Winning trades): 51 minutes
Average hold time (Losing trades): 30 minutes
Shortest trade duration: 3m
Longest trade duration: 4h 18m
Trade expectancy (R): +0.10R
Avg. realized R-multiple: +0.10R
Profit factor: 1.19
Payoff ratio: 0.85 : 1

Trading day performance

19 metrics

Total trading days: 56
Winning days: 32
Losing days: 21
Breakeven days: 3
Max consecutive winning days: 5 days
Max consecutive losing days: 3 days
Average daily R: +0.23R
Average winning day R: +1.18R
Average losing day R: −1.12R
Avg daily win/loss: 1.05
Largest profitable day: +3.40R
Largest losing day: −2.40R
Average trading day duration: 2h 16m
Win rate: 58.27%
Day win rate: 60.38%
Max drawdown: −3.20R
Max daily net drawdown: −2.40R
Avg daily net drawdown: −1.12R
Recovery factor: 4.00

Timing analytics

Find when your edge shows up.

Compare results by weekday and entry time to identify the sessions and hours that suit your setups.

DaysMonthsWeeksTrade timeTrade duration

◈

Best day

Tuesday

25 trades

+3.4R

◈

Most active

Tuesday

Trade count

25 trades

◈

Best hour

10:00–11:00

18 trades

+5.2R

◈

Win rate

58.3%

Across closed trades

74W / 53L

Net R vs trade count

Sample data

Net R Trade count

Win %

Sample data

Summary

Day	Win %	Net R	Trade count	Avg volume	Avg win	Avg loss
Monday	54.5%	+1.2R	22	4.4	+1.1R	−1.0R
Tuesday	68.0%	+3.4R	25	5.0	+1.3R	−1.1R
Wednesday	57.1%	+2.1R	21	4.2	+1.2R	−1.0R
Thursday	52.6%	+0.8R	19	3.8	+0.9R	−1.1R
Friday	47.4%	−0.5R	19	3.8	+0.8R	−1.2R

Holding-time analytics

See how long your wins and losses last.

Break down outcomes by hold time and see where you cut winners short or stay in losing trades.

DaysMonthsWeeksTrade timeTrade duration

◷

Best duration

15–30 min

31 closed trades

+6.8R

◷

Most trades

15–30 min

Trade count

31 trades

◷

Lowest duration

> 60 min

12 closed trades

−1.2R

◷

Avg hold time

38 minutes

Across closed trades

127 trades

Net R vs trade count

Sample data

Win %

Sample data

Summary

Duration	Win %	Net R	Trade count	Avg volume	Avg win	Avg loss
< 15 min	44.4%	+2.4R	18	—	—	—
15–30 min	61.3%	+6.8R	31	—	—	—
30–60 min	58.3%	+4.1R	24	—	—	—
> 60 min	41.7%	−1.2R	12	—	—	—

Performance over time

Track the path—not just the final result.

Follow cumulative R and drawdown as trades unfold to understand your performance swings.

Execution review

Know which habits are costing you.

Compare results when mistakes are present and find the execution patterns worth correcting.

Setups with mistake

26 with · 101 without

Mistake share (RR rows)

20.5%

Closed rows with a mistake

Total R (mistake rows)

−8.2R

26 rows with RR

Winrate (mistake)

34.6%

Among mistake rows

Avg R (mistake)

−0.32R

Mean RR when mistake logged

Avg R (clean)

+0.21R

101 clean rows

By mistake type

Mistake mix

26 tagged

Early exit 9
Moved stop 7
Revenge trade 6
Other 4

Total R by mistake

Net result

Logged setups

OCT 21 · TUESDAYMoved stop early−4.2R

OCT 18 · FRIDAYEntered too soon−2.6R

OCT 15 · MONDAYNo setup tag−1.4R

Setup and context

Find the contexts where you perform best.

Compare your own trade tags by frequency and result to learn which setups deserve more focus.

Quick read

London breakout leads by total R
Countertrend setups are below zero

Best setup

+8.4R

London breakout · 24 closed

Worst setup

−2.1R

Countertrend · 11 closed

Tagged avg R

+0.34R

vs untagged +0.08R

Tag coverage

78.6%

110 tagged · 6 setups

Compare setups

One row per tag — scan edge before opening charts.

All columns

Setup	Trades	Win %	Avg R	Total R	PF
London breakout	24	62.5%	+0.35R	+8.4R	1.84
Trend continuation	19	57.9%	+0.27R	+5.2R	1.52
Countertrend	11	36.4%	−0.19R	−2.1R	0.72

Charts

OverviewPerformanceDirectionTrendsWeekday

Total R by setup

Sample data

Tagged vs untagged

Sample data

Strategy comparison

See which strategies are earning their place.

Compare trade count, total R, and expectancy across strategies in one view.

Compare every playbook side by side — win rate, expectancy, drawdown, profit factor, and mistakes.

Playbook insights

Opening range leads with +9.6R
Trend pullback has the steadiest drawdown

Strategies tracked

Assigned trades

Rows with a strategy label

Combined total R

+17.3R

Profitable playbooks

3 / 3

Playbook snapshot

Opening range

32 trades · 32 closed

Win rate

62.5%

Long / Short

18 / 14

Total R

+9.6R

Expectancy

+0.30R

Profit factor

1.84

Max drawdown

−2.1R

Trend pullback

27 trades · 27 closed

Win rate

59.3%

Long / Short

18 / 14

Total R

+6.3R

Expectancy

+0.23R

Profit factor

1.84

Max drawdown

−1.8R

Mean reversion

15 trades · 15 closed

Win rate

46.7%

Long / Short

18 / 14

Total R

+1.4R

Expectancy

+0.09R

Profit factor

1.84

Max drawdown

−2.4R

Side-by-side comparison

Win rate by strategy

Sample data

Total R by strategy

Sample data

Broker import

Pick your broker, hit import, see every trade in one place.

Connect Delta Exchange India or Shark Exchange once with API keys. Every fill and its P&L lands in your journal—overview, calendar, and tags included. No CSV or rebuilding history by hand.

Choose broker
Connect API key
Import trades

Delta Exchange India and Shark Exchange are supported today. Pick one above to watch a full import run.

Your journalWaiting for import

Trades imported—round-trips

Winning trades—after import

Win rate—after import

Net P&L—in INR

Trader diary

last 4 weeks

Imported trades

newest first

Imported fills stream in here—symbol, side, time, fees, and P&L in INR.

Overview & expectancy
Imported round-trips feed total R, win rate, and expectancy instantly.
Trader diary calendar
Every session lands on the calendar so red clusters are obvious.
Tags & mistakes
Tag setups after import and slice which context actually pays.

Demo of the real import flow · re-importing a range never duplicates trades

See supported brokers

Traders

What others are saying

“Finally stopped guessing. The monthly R chart showed me my edge only works Tue–Thu. Cut my losing days immediately.”

FAQ

Quick answers

What is Traderizz?

Traderizz (traderizz.com) is free backtesting and journaling software for traders. Run unlimited free backtesting trades with bar replay, then journal live results in actual P&L, R-multiples, or both — with analytics, diary, tags, and broker import from Delta Exchange India and Shark Exchange.

Is Traderizz free backtesting software?

Yes. Traderizz is free backtesting software — also a free backtesting tool and free backtesting platform — with bar replay, long/short chart tools, automatic SL/TP trade records, and unlimited free backtesting trades. No credit card required.

Does bar replay auto-record trades?

Yes. Arm the long or short tool, set stop and target, place the trade, then print candles. When SL or TP hits, Traderizz closes the trade and records entry, exit, and R automatically.

What is a trading journal?

A structured log of trades, setups, and outcomes. Measure expectancy, win rate, and execution quality to refine a tested, repeatable edge over time.

Can I use Traderizz for crypto, forex, and stock trades?

Yes. Traderizz supports manual journals for crypto, forex, stocks, futures, indices, and other instruments. Direct broker import currently supports eligible Delta Exchange India and Shark Exchange crypto history; forex and stock trades are logged manually. Backtesting sessions currently cover free crypto, metals, and EUR/USD (BTC, ETH, SOL, BNB, XRP, gold, silver, EUR/USD).

Is Traderizz a free trading journal?

Yes. You can create a private Traderizz account with Google and start journaling without a credit card. Free backtesting trades are unlimited. Journal plan allowances for live trade logging are listed on the pricing page.

Is Traderizz built for Indian traders?

Yes. Traderizz provides INR-focused performance review, IST-aware trade dates and diary views, an INR-first R Simulator, and direct trade imports from Delta Exchange India and Shark Exchange. Other Indian market trades can be logged manually.

Does it work on mobile?

Yes — install as a PWA on iPhone, Android, or desktop. Log and review trades from anywhere.

Can I track actual P&L and R-multiples?

Yes. P&L and Result (R) are separate optional fields. Use either or both, switch the analytics display, or assign a value to 1R later with R Simulator to visualize an R-only history as simulated P&L.

Is my data private?

Your journals and backtesting sessions are private to your account. Sign in with Google — data is never published or indexed.

Can I import trades from Delta Exchange or Shark Exchange?

Yes. Connect Delta Exchange India or Shark Exchange with API keys and import fills with P&L into a journal—no CSV. Review the imported history with overview analytics, tags, and trader diary.

Start free. Find your edge.

Backtesting trades are unlimited on the free plan. Free live journaling includes one journal, one strategy, and up to 35 trades per journal; upgrade only when you need higher limits. No credit card to start.

Find your statistical edgeand exploit the markets.

Equity & drawdown

By mistake type

Logged setups

Playbook snapshot

Side-by-side comparison

Pick your broker, hit import, see every trade in one place.

Try the import flow

Trader diary

Imported trades

What others are saying

Quick answers

Start free. Find your edge.

Find your statistical edge
and exploit the markets.