MarketGPT FLEET v3.2
Quantitative Portfolio • Rishav Biswas
Total Portfolio Value
₹1,105,000.00
Base: ₹1,105,000.00 +0.00%
Net Cumulative PnL
+₹0.00
Closed: ₹0.00 | Open: ₹0.00
Win Rate & Factor
78.1% 89W / 25L
Profit Factor: 1.42
Risk & Volatility
-4.82%
Sharpe Ratio: 1.84 Controlled
Execution Velocity
114 Trades
Avg Hold: 0.6 hrs
Capital Allocation
₹1,075,400.00
Margin: ₹29,600.00 5x Leverage

Cumulative Equity Curve

Chronological portfolio growth & drawdown trajectory across trading cycles
HIGH RESOLUTION

MarketGPT AI Signal

Real-time deep learning transformer inference
v1.0 ENGINE
Active Signal SELL
Model Confidence 25.8%
Orderbook Spread: 0.012%
Inference Cycle: Just now
Execution Rule Engine: Signals execute autonomously across all 3 bot pipelines when confidence > threshold with automated take-profit and stop-loss boundaries.

Daily Session PnL

Periodic gain/loss breakdown

Win vs Loss Ratio

Trade outcome distribution
78.1%
Win Rate

Bot Fleet Trade Distribution

Volume across trading bots

Active Open Positions

Real-time live market monitoring, unrealized PnL & target liquidation/TP prices
3 Active
Bot Name Symbol Side & Leverage Shares (BTC) Entry Price Current Mark Position Margin Unrealized PnL Action

Quantitative Fleet Specifications

Risk parameters, leverage limits and capital sizing rules configured for each trading bot

Trade Execution History

Audited record of all closed algorithmic trades with granular execution telemetry
Trade ID Bot Symbol Side Exit Timestamp Entry Price Exit Price Gross PnL Return % Reason Closed
Showing 1-15 of 114 trades