Kalshi Trader

Auto-refresh every 5s · —

Real-time snapshot

· Live Trading
View on Kalshi
Positions—
Positions P&L—
Price Gap—
Win Probability—
Contract price/qty—
Total Cost—
Strike—
BTC price—
Potential win value—
Exp win value—

All trades summary

Total P&L—
Win rate—
Sharpe ratio—
Total volume—
Total fees—
Avg entry—
Avg edge—
Avg entry p—

Metrics by version

Version Trades Win rate PNL Avg PNL Total volume PNL % Total fees Avg entry Avg win value Avg loss value % Yes Yes win % No win % Avg edge Avg min remain Held to close % Early exit % Avg exit impact Take profit % Avg trades/cycle Won if held (count)

Recent entries

Time Trade No Version Ticker | Pos ID Side Type in_win_% Edge Win prob BTC at purchase Strike Entry Contracts cost Total purchase cost Exit type BTC at exit Exit price Exit value Gross exit proceeds Total fees Close outcome Won if held Exit impact P&L Cumul. P&L

Recent exits

Time Trade No Version Ticker | Pos ID Side Type in_win_% Edge Win prob BTC at purchase Strike Entry Contracts cost Total purchase cost Exit type BTC at exit Exit price Exit value Gross exit proceeds Total fees Close outcome Won if held Exit impact P&L Cumul. P&L

Live Fills

View on Kalshi
Result
Date
Version
Side
Type
Edge %
Exit type
Close outcome
Won if held
Time Trade No Version Ticker | Pos ID Side Type in_win_% Edge Win prob BTC at purchase Strike Entry Contracts cost Total purchase cost Exit type BTC at exit Exit price Exit value Gross exit proceeds Total fees Close outcome Won if held Exit impact P&L Cumul. P&L

Market Summary

Market Ticker Version Trades Wins Losses Win Rate Total Cost Total P&L Avg Entry Avg Edge Side Close Outcome

Live decision log

View on Kalshi

Recent actions (no debug). Refreshes every 5s.


      

    

  


  
  

    

      

        
BTC price (multi-exchange)

        

          
        

      

      
Prices every 10s. Run python btc_price_feed_service.py to populate. itBit, LMAX Digital, and Bullish are not connected in this build (no public WebSocket adapters yet).

      

      

        

          
            

              Timestamp (UTC)
              BTC smooth (bot)
              Bitstamp
              Coinbase
              Kraken
              Gemini
              Crypto.com
              High
              Low
              Avg
              itBit
              LMAX Digital
              Bullish
            

          
          
        

      

    

  


  
  

    

      

        
CF Index (BRTI replication)

        

          
        

      

      
Replicates CF Benchmarks' BRTI methodology using 5 of 8 constituent exchanges. Run python cf_index_service.py to populate.

      

        
CF Index—

        
Simple Avg—

        
CF Avg (60s)—

        
Delta—

        
Exchanges used—

        
Utilized depth—

        
Last updated—

      

      
Exchange status

      

        
      

      
History

      

        

          
            

              Timestamp (UTC)
              CF Index
              Simple Avg
              CF Avg (60s)
              Delta
              Used
              Depth
              Bitstamp
              Coinbase
              Kraken
              Gemini
              Crypto.com
            

          
          
        

      

    

  


  
  

    

      

        

          
          
          

            Version filter:
            

              
              
            

          

          
          
        

        

          
          
          
          
          
          
        

      

      

        
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Current version

        

          View on Kalshi
          
        

      

      
Version: — · Logged: —

      

        

          

            
              
SettingValue

            
            
          

        

        

          

            
              
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Settlement Outcome Analysis

      

      

        
        
        
        
      

      
Select a side and click Calculate to view win rates by time remaining and price gap.

      

      
Win rate

      

        

          
          
        

      

      
Sample count per cell

      
Number of cycle observations in each gap/time bucket. Higher count = more reliable win rate above.

      

        

          
          
        

      

    

  


  
  

    

      

        
Kalshi Account (Live API)

      

      

        
Balance—

        
Open positions—

        
Resting orders—

        
Total exposure—

        
Realized P&L—

        
Total fees—

      

      
Last refresh: — · Auto-refreshes every 60s

      
Open positions

      

        

          
            

              Ticker
              Side
              Quantity
              Avg price
              Exposure
              Realized P&L
              Fees paid
              Total traded
            

          
          
        

      

      
Resting orders

      

        

          
            

              Ticker
              Side
              Action
              Type
              Price
              Count
              Filled
              Status
              Created
            

          
          
        

      

      

        
Recent fills

        
      

      

        

          
            

              Ticker
              Side
              Action
              Count
              Price
              Cost
              Fee
              Taker
              Result
              Time
            

          
          
          
        

      

      

        
Fills by market

        
      

      

        

          
            

              Ticker
              Fills
              Buy qty
              Sell qty
              Buy cost
              Sell proceeds
              Fees
              Result
              P&L