SASADAILY LAB / DSJ AI BOARD
DSJ AI Board Public Test
See the live results first. Decide whether to participate later.
SasaDaily continuously preserves public DSJ main-account Testnet data, including performance, drawdown, positions and timestamped snapshots.
PUBLIC PERFORMANCE
Current test performance
Metrics that are unavailable or based on insufficient samples are not shown as zero, and no performance conclusion is made prematurely.
Equity and Drawdown Trend
A Testnet master-account snapshot is saved every 15 minutes. The upper chart shows Equity; the lower chart shows Drawdown from the previous observed peak.
Equity
Drawdown
08/21 09:22
10/27 17:33
The chart and MDD currently represent only the data saved since SasaDaily began monitoring on Aug 21, 2026. They do not represent the complete DSJ Testnet performance history from day one. As more snapshots accumulate, the observation period and reference value will gradually increase.
LIVE TEST STATUS
Public-test evidence
Environment
Testnet
Evidence basis
Transparent main-account record
SasaDaily monitoring started
2026/08/21 09:22
Saved snapshots
6,331
Latest data
2026/10/27 17:33
SasaDaily independently preserves snapshots from public DSJ main-account Testnet data. Metrics that are unavailable or unverifiable are never replaced with zero.
HOW IT WORKS
What is DSJ AI Board?
You do not need to understand complex quantitative trading first. Think of DSJ first as a trading platform where users can observe markets, use Testnet to try the trading workflow and observe quantitative performance.
Start with real market data
Testnet uses real market data as the basis for observation, so the test is not based on invented prices.
Then test with simulated funds
Use Testnet assets to become familiar with the trading and quantitative workflow, without putting up real money at the start.
You decide what comes next
You can simply observe or trade on your own, or test copy trading after understanding how it works and the risks involved.
SasaDaily follows a simple principle: understand it first, test it first, then decide for yourself.
YOUR CHOICE
Review the data, then choose how to participate
It is fine if you are unfamiliar with trading, and you do not need to make any decision at the start. You can observe, test trades yourself, or try copy trading after understanding the risks.
I just want to observe first
For people who are new to quantitative trading and want to see the test results first.
- View public test results
- Track returns and drawdowns
- No trading required
- No real money required
I want to test trading myself
For people who want to make their own decisions and learn the trading workflow themselves.
- Use Testnet simulated funds
- Choose your own trading approach
- Place your own orders
- Keep full decision-making control
I want to test quantitative copy trading
For people who are less familiar with trading but want to observe actual quantitative performance.
- Review the public test record first
- Test with simulated funds
- No need to decide on every trade yourself
- You decide whether to use it
START TESTNET
Want to try it yourself? Start Testnet in 4 steps
You do not need to put up real money at the start. Use the test environment first to learn the workflow and observe the quantitative results before deciding what comes next.
Go to Testnet
Enter the DSJ AI Board Testnet environment from SasaDaily.
Sign in or register with email
Follow the current DSJ sign-in flow to create or access a test account.
Use Testnet assets
After signing in, use simulated Testnet assets. No real wallet connection or real funds are required.
Choose how to test
You can trade yourself or test quantitative copy trading, then observe the results.
Important: Testnet uses test assets and real market data, but trade execution is simulated. It should not be treated as equivalent to real Mainnet execution.
Start Testnet for freePUBLIC TEST LOG
Latest public test record
As the test continues, this section will record weekly results, trade records, system incidents and major system updates that affect how performance should be interpreted.
Latest update
Data updated 2026/10/27 17:33 | Current Equity 13,829.45 jUSDC | Realized PnL +4,607.17 jUSDC
Updated
Weekly test report
Week 1 | 2026/08/21–2026/08/28 | Equity change +19.15% | Observed drawdown -14.63%
Available
Weekly test report
Week 2 | 2026/08/28–2026/09/04 | Equity change -7.82% | Observed drawdown -11.37%
Available
Weekly test report
Week 3 | 2026/09/04–2026/09/11 | Equity change -3.20% | Observed drawdown -16.05%
Available
Weekly test report
Week 4 | 2026/09/11–2026/09/18 | Equity change -14.67% | Observed drawdown -26.70%
Available
Weekly test report
Week 5 | 2026/09/18–2026/09/25 | Equity change +0.66% | Observed drawdown -28.22%
Available
Weekly test report
Week 6 | 2026/09/25–2026/10/02 | Equity change -6.71% | Observed drawdown -32.49%
Available
Weekly test report
Week 7 | 2026/10/02–2026/10/09 | Equity change -1.26% | Observed drawdown -32.30%
Available
Weekly test report
Week 8 | 2026/10/09–2026/10/16 | Equity change +7.56% | Observed drawdown -32.96%
Available
Weekly test report
Week 9 | 2026/10/16–2026/10/23 | Equity change -5.12% | Observed drawdown -30.84%
Available
Trade records
Since monitoring began on 2026/08/28, 160 non-funding fill events have been saved | Latest 2026/10/22 21:07:35 | ETH SELL | Size 3.060200 | Price 2,398.750000 | PnL -198.913000; the source provides no order ID, open/close field or fee, so complete trade count, win rate and profit factor cannot yet be calculated
Fill ledger
System incidents
SasaDaily data collection is current, with the latest snapshot within 45 minutes. This confirms collection health only, not that DSJ has had zero internal incidents.
Normal
System status
DSJ Testnet connected | 15-minute snapshots continue accumulating | Major version changes remain event-based notes
Normal
Profits, losses and system incidents are all recorded, not just favorable results;the core trading strategy and AI model are proprietary DSJ technology and are not disclosed.
30 / 60 / 90-DAY EVIDENCE CHECKPOINTS
Public-test milestones
A milestone is not a declaration that the strategy works. It freezes the performance, drawdown and evidence limitations observed at that point in time.
Day 30 milestone
2026/08/21–2026/09/20
Equity at cutoff
14,834.68
jUSDC
Vs. initial capital
+48.35%
Observed maximum drawdown (MDD)
-26.83%
Largest drawdown from the prior observed peak during the first 30 days
Realized PnL
+5,126.69
jUSDC
Unrealized PnL
+188.03
jUSDC
Drawdown at cutoff snapshot
-25.82%
Open positions
5
Saved snapshots
2,843
What the first 30 days do show
At the Day 30 cutoff, Equity remained above the initial 10,000 jUSDC, and the result was not composed only of unrealized PnL. The observation period also included a substantial drawdown.
What the evidence still cannot establish
The trade ledger began after Aug 28. Its 114 records are non-Funding fills, not 114 verified completed trades, and fee data is incomplete. Win rate, completed-trade count, Profit Factor and fully fee-adjusted net performance are therefore not reported.
Day 30 conclusion: the Testnet public record remains positive versus initial capital, but the observation period also reached roughly 27% maximum drawdown and trade-level evidence remains incomplete. Day 30 therefore does not establish that the strategy has been validated; the public test continues toward Day 60.
Evidence scope: Testnet master-account data saved by SasaDaily since Aug 21, 2026 09:22. Day 30 cutoff: 2026/09/20 09:22:05; the last saved snapshot before the cutoff was 2026/09/20 09:14, with 2,843 saved snapshots through the cutoff. Testnet results cannot be directly extrapolated to Mainnet or future returns.
Day 60 milestone
2026/08/21–2026/10/20
Equity at cutoff
14,298.85
jUSDC
Vs. initial capital
+42.99%
Observed maximum drawdown (MDD)
-32.96%
Largest drawdown from the prior observed peak across saved snapshots during the first 60 days
Realized PnL
+5,046.99
jUSDC
Unrealized PnL
0.00
jUSDC
Drawdown at cutoff snapshot
-28.50%
Open positions
0
Saved snapshots
5,639
What the first 60 days show
At Day 60, Equity remained above the initial 10,000 jUSDC, with a cumulative return of approximately +42.99%. However, observed maximum drawdown reached approximately -32.96%; positive returns alone are not sufficient evidence.
What the evidence still cannot establish
The trade ledger does not cover the full observation period, and non-Funding fills are not verified completed trades. Fee data remains incomplete. Snapshot gaps mean observed MDD is based only on saved snapshots. Equity has not yet been fully reconciled with realized and unrealized PnL. Win rate, Profit Factor and fully fee-adjusted net performance are not reported.
Day 60 conclusion: Testnet Equity remained above initial capital, but cumulative return declined from Day 30 and observed maximum drawdown deepened. The strategy is not yet validated; observation continues toward Day 90.
Evidence scope: Testnet master-account data saved by SasaDaily since Aug 21, 2026 09:22. Day 60 cutoff: 2026/10/20 09:22:05; last saved snapshot before cutoff: 2026/10/20 09:16; saved snapshots through cutoff: 5,639. MDD is based on saved snapshots only. Testnet results do not guarantee Mainnet or future returns.
TRANSPARENCY
What we know — and what we still do not know
SasaDaily does not present assumptions as facts in this public test. Confirmed information is identified by source. Where evidence is still insufficient, we continue to wait for verification.
Confirmed
This page currently tests the DSJ AI Board Testnet, using test assets for operation and observation.
Under verification
Long-term returns, maximum drawdown, stability and performance across different market conditions.
Cannot be inferred directly
Simulated Testnet execution cannot be treated as equivalent to real-money Mainnet execution.
Still to be confirmed
Long-term Mainnet performance, slippage, liquidity impact and any future referral program all require formal data before they can be confirmed.
Important reminders
- Historical or Testnet results do not guarantee future performance.
- Real trading may be affected by fees, slippage, funding and liquidity.
- Crypto assets and derivatives trading can result in substantial losses.
- SasaDaily provides public documentation and education; it does not make investment decisions for users.
Review the data, test first, then decide what comes next for yourself.
Enter Testnet for free