Interactive walkthrough
See YorN in Action
Three real scenarios: agent creation, team coordination, and self-improvement.
Scenario: Create an NBA Halftime Agent
Watch as a user types a natural language prompt describing an NBA halftime comeback strategy. The AI generates an inspectable agent, validates it, and deploys it to paper trading for review.
Step 0 / 0
YorN
$10,000.00
PAPER
G
Press ▶ Play to begin
AGENT BUILDER
"Buy YES on NBA games where the home team trails by 10+ points at halftime. Historical comeback data shows these are underpriced below 35 cents."
ENTRY LOGIC
home_deficit >= 10 AND price <= 0.35
EXIT LOGIC
price > 0.60 OR game_end
POSITION SIZE
2% per trade
RISK LIMITS
5 max positions, 8% daily loss
HalftimeDeficit
RUNNING
BUY 20x YES
LAL-BOS-Q4 @ 32c
INPUT Waiting for strategy description...
INPUT > "Buy YES on NBA games where the home team trails by 10+ points at halftime. Historical comeback data shows these are underpriced below 35 cents."
AGENT Parsing strategy description...
AGENT Identified: sport=NBA, trigger=halftime_deficit, threshold=10pts, side=YES, max_price=0.35
AGENT Generating Strategy class via Claude...
BUILD HalftimeDeficit strategy generated and ready for review
BUILD Entry logic: home_deficit >= 10 AND current_price <= 0.35
BUILD Exit logic: price > 0.60 OR game_end
BUILD Position size: 2% of portfolio per trade
BUILD Risk: max 5 concurrent positions, 8% daily loss limit
VALID Running syntax validation...
VALID Syntax: PASS
VALID Risk params: PASS (within safe bounds)
VALID Exchange compatibility: Kalshi PASS
DEPLOY HalftimeDeficit deployed to PAPER mode
DEPLOY Scanning 14 active NBA markets...
SIGNAL LAL-BOS-Q4: home deficit = 12pts, current price = 32c SIGNAL TRIGGERED
TRADE BUY 20x YES @ 32c on LAL-BOS-Q4 (paper)
STATUS Agent running. Portfolio: $9,936.00 | Positions: 1 | Scanning...
DASHBOARDPAPER
$10,847.52
+$847.52 (+8.5%)
SESSION
Win Rate
68%
Trades
34
Active
3
PORTFOLIO
Sharpe
1.84
Sortino
2.31
Max DD
-3.8%
RECENT
BUY LAL-BOS YES @ 32c · +$4.20
SELL FOMC-MAR NO @ 29c · +$2.85
BUY NYC-TEMP YES @ 44c · pending
CREATE AGENT
PAPER
Press ▶ Play to begin
DESCRIBE YOUR STRATEGY
"Buy YES on NBA games where the home team trails by 10+ points at halftime..."
GENERATED AGENT
Entry
deficit>=10 & p<=.35
Exit
p>.60 or game end
Size
2%/trade
Risk
5 pos, 8% daily
STATUS
HalftimeDeficit
RUNNING
Markets
14
Positions
1
Portfolio
$9,936
LATEST TRADE
BUY 20x YES
LAL-BOS-Q4 @ 32c
PORTFOLIO+8.5%
OPEN POSITIONS
LAL-BOS-Q4
YES · 20 contracts
+$4.20
@ 32c → 53c
FOMC-MAR-HOLD
YES · 15 contracts
+$2.85
@ 78c → 97c
NYC-TEMP-FEB
YES · 10 contracts
$0.00
@ 44c → 44c
SUMMARY
Total P&L
+$847.52
Win Rate
68%
Avg Win
+$38.40
Avg Loss
-$18.20
MARKETSLIVE
TRENDING
FOMC March HoldECON
YES 78cNO 22c
$1.2M volLAL vs BOS TonightNBA
YES 53cNO 47c
$840K volNYC Temp > 40F FebWEATHER
YES 44cNO 56c
$320K volBTC > $100K MarchCRYPTO
YES 62cNO 38c
$2.1M volMOREPAPER
G
grant@yorn.ai
Paper Trading Mode
Settings
Risk Rules
API Keys
Documentation
Log Out
YorN v1.0.0 · Paper Mode
Scenario: Council Mode Vote on FOMC Trade
Four specialized agents analyze an FOMC rate decision market. Each agent evaluates the trade from its unique perspective, casts a weighted vote, and the council reaches consensus before execution.
Step 0 / 0
YorN
$12,847.00
PAPER
G
Press ▶ Play to begin
COUNCIL VOTE — FOMC-MAR-HOLD @ 78c
MacroAlpha
YES
87% · 1.2x weight
SentimentBot
YES
72% · 1.0x weight
RiskGuard
YES
65% · 1.0x weight
ContrarianX
NO
54% · 0.8x weight
CONSENSUS REACHED
74.2% weighted YES (threshold: 60%) · Position: 0.8x
BUY 15x YES
FOMC-MAR-HOLD @ 78c (paper)
MacroAlpha
YES
Confidence: 87%
Fed funds futures imply 92% hold probability. Current market at 78c is underpriced by 14 cents.
SentimentBot
YES
Confidence: 72%
FOMC statement language analysis suggests dovish hold. Social sentiment aligns with no-cut thesis.
RiskGuard
YES
Confidence: 65%
Risk/reward favorable at current price. Capped downside of 22c vs upside of 78c on hold outcome.
ContrarianX
NO
Confidence: 54%
Market pricing already reflects consensus. Limited edge at 78c. Would prefer entry below 70c.
CONSENSUS REACHED -- Execute Trade
3/4 agents voted YES · Weighted score: 74.2% (threshold: 60%) · Position size: 0.8x (adjusted for dissent)
COUNCIL Signal detected: FOMC-MAR-HOLD @ 78c
COUNCIL Initiating council vote with 4 agents...
COUNCIL Consensus threshold: 60% weighted | Mode: simple majority
VOTE MacroAlpha analyzing macro indicators...
VOTE MacroAlpha votes YES (87% confidence, weight: 1.2x)
REASON "Fed funds futures at 92% hold. Market underpriced by 14c."
VOTE SentimentBot analyzing NLP sentiment...
VOTE SentimentBot votes YES (72% confidence, weight: 1.0x)
REASON "Statement language dovish. Social alignment: 81%."
VOTE RiskGuard evaluating risk/reward...
VOTE RiskGuard votes YES (65% confidence, weight: 1.0x)
REASON "Favorable asymmetry. 22c risk vs 78c reward."
VOTE ContrarianX running contrarian analysis...
VOTE ContrarianX votes NO (54% confidence, weight: 0.8x)
REASON "Consensus already priced. Limited edge at 78c."
RESULT Weighted YES: 74.2% | Threshold: 60% | CONSENSUS REACHED
ADJUST Position sized to 0.8x due to dissenting vote
TRADE BUY 15x YES @ 78c on FOMC-MAR-HOLD (paper)
AUDIT Full vote record logged to audit trail
DASHBOARDPAPER
$10,847.52
+$847.52 (+8.5%)
SESSION
Win Rate
68%
Trades
34
Active
3
PORTFOLIO
Sharpe
1.84
Sortino
2.31
Max DD
-3.8%
RECENT
BUY LAL-BOS YES @ 32c · +$4.20
SELL FOMC-MAR NO @ 29c · +$2.85
BUY NYC-TEMP YES @ 44c · pending
COUNCIL
VOTING
Press ▶ Play to begin
SIGNAL DETECTED
FOMC-MAR-HOLD @ 78c
Council vote initiated
Council vote initiated
AGENT VOTES
FOMCTrader
88%
YES
SentimentBot
72%
YES
RiskGuard
65%
YES
ContrarianX
54%
NO
RESULT
CONSENSUS REACHED
Weighted
74.2%
Threshold
60%
Size Adj
0.8x
BUY 15x YES
FOMC-MAR @ 78c
PORTFOLIO+8.5%
OPEN POSITIONS
LAL-BOS-Q4
YES · 20 contracts
+$4.20
@ 32c → 53c
FOMC-MAR-HOLD
YES · 15 contracts
+$2.85
@ 78c → 97c
NYC-TEMP-FEB
YES · 10 contracts
$0.00
@ 44c → 44c
SUMMARY
Total P&L
+$847.52
Win Rate
68%
Avg Win
+$38.40
Avg Loss
-$18.20
MARKETSLIVE
TRENDING
FOMC March HoldECON
YES 78cNO 22c
$1.2M volLAL vs BOS TonightNBA
YES 53cNO 47c
$840K volNYC Temp > 40F FebWEATHER
YES 44cNO 56c
$320K volBTC > $100K MarchCRYPTO
YES 62cNO 38c
$2.1M volMOREPAPER
G
grant@yorn.ai
Paper Trading Mode
Settings
Risk Rules
API Keys
Documentation
Log Out
YorN v1.0.0 · Paper Mode
Scenario: Self-Learning Improves Win Rate
Watch a PlayoffPsych agent go through three learning cycles. It analyzes its own losses, proposes strategy improvements, tests them on paper, and keeps only the changes that work. One cycle gets rolled back automatically.
Step 0 / 0
YorN
$12,847.00
PAPER
G
Press ▶ Play to begin
PlayoffPsych
SELF-LEARNING
Win Rate
52%
Sharpe Ratio
0.82
LEARNING HISTORY
CYCLE 1
52% --> 61%
rest-day filter
CYCLE 2
61% --> 48%
ROLLED BACK
CYCLE 3
61% --> 71%
momentum weight
Net: +19pp win rate
Cycles: 3
Rollbacks: 1
CYCLE 1 -- KEPT
Win Rate
52% --> 61%
Sharpe
0.82 --> 1.24
Trades Analyzed
18
Added rest-day filter
CYCLE 2 -- ROLLED BACK
Win Rate
61% --> 48%
Sharpe
1.24 --> 0.61
Trades Analyzed
12
Tighter entry rejected
CYCLE 3 -- KEPT
Win Rate
61% --> 71%
Sharpe
1.24 --> 1.92
Trades Analyzed
24
Momentum weighting added
52%
Starting Win Rate
71%
Final Win Rate
3
Learning Cycles
1
Auto-Rollback
ANALYZE Reviewing 18 trades from last 48 hours...
ANALYZE Found pattern: 67% of losses occurred on back-to-back game days
PROPOSE Add rest_days >= 1 filter to entry logic
TEST Paper testing improvement for 12 trades...
RESULT Win rate: 52% --> 61% (+9pp) | Sharpe: 0.82 --> 1.24
KEEP Improvement kept. Strategy updated.
ANALYZE Reviewing 12 trades since last cycle...
ANALYZE Found pattern: larger deficits (15+) have higher reversion rate
PROPOSE Tighten entry to deficit >= 15 (from >= 10)
TEST Paper testing improvement for 8 trades...
RESULT Win rate: 61% --> 48% (-13pp) | Sharpe: 1.24 --> 0.61
ROLLBACK Performance degraded. Auto-reverting to previous version.
RESTORE Strategy reverted to post-Cycle-1 state
ANALYZE Reviewing 24 trades since last kept cycle...
ANALYZE Found pattern: wins correlate with 3rd quarter scoring momentum
PROPOSE Add Q3 momentum weighting to signal confidence
TEST Paper testing improvement for 16 trades...
RESULT Win rate: 61% --> 71% (+10pp) | Sharpe: 1.24 --> 1.92
KEEP Improvement kept. Strategy updated.
COMPLETE 3 cycles complete | Net improvement: 52% --> 71% win rate | 1 rollback
STATUS PlayoffPsych resuming normal trading with updated strategy
DASHBOARDPAPER
$10,847.52
+$847.52 (+8.5%)
SESSION
Win Rate
68%
Trades
34
Active
3
PORTFOLIO
Sharpe
1.84
Sortino
2.31
Max DD
-3.8%
RECENT
BUY LAL-BOS YES @ 32c · +$4.20
SELL FOMC-MAR NO @ 29c · +$2.85
BUY NYC-TEMP YES @ 44c · pending
PLAYOFFPSYCH
LEARNING
Press ▶ Play to begin
PlayoffPsych
3 CYCLES
Start
52%
Current
71%
Rollbacks
1
CYCLES
Cycle 1
KEPT
52% → 58% | Halftime spread filter
Cycle 2
ROLLED BACK
58% → 49% | Tighter entry rejected
Cycle 3
KEPT
61% → 71% | Momentum weighting
SUMMARY
Sharpe
1.92
Improvement
+19pp
PORTFOLIO+8.5%
OPEN POSITIONS
LAL-BOS-Q4
YES · 20 contracts
+$4.20
@ 32c → 53c
FOMC-MAR-HOLD
YES · 15 contracts
+$2.85
@ 78c → 97c
NYC-TEMP-FEB
YES · 10 contracts
$0.00
@ 44c → 44c
SUMMARY
Total P&L
+$847.52
Win Rate
68%
Avg Win
+$38.40
Avg Loss
-$18.20
MARKETSLIVE
TRENDING
FOMC March HoldECON
YES 78cNO 22c
$1.2M volLAL vs BOS TonightNBA
YES 53cNO 47c
$840K volNYC Temp > 40F FebWEATHER
YES 44cNO 56c
$320K volBTC > $100K MarchCRYPTO
YES 62cNO 38c
$2.1M volMOREPAPER
G
grant@yorn.ai
Paper Trading Mode
Settings
Risk Rules
API Keys
Documentation
Log Out
YorN v1.0.0 · Paper Mode
KEY TAKEAWAYS
What makes this different
Three capabilities that set YorN apart from every other trading tool.
Natural Language to Live Agent
Describe any strategy you can imagine. The AI generates a complete, deployable trading agent with entry logic, exit logic, position sizing, and risk rules. No code required at any step.
Team Intelligence
Agents collaborate like a professional trading desk. Council voting ensures high-conviction trades. Dissenting opinions automatically adjust position sizing for risk management.
Agents That Get Smarter
Self-learning cycles analyze performance, propose improvements, and automatically rollback changes that make things worse. Your agents improve with every batch of trades.
Ready to try it
yourself?
Everything you just saw is available right now. Build your first agent in minutes, not months.
No credit card required · Free paper trading forever