🧠 Trade Manager

A production-grade Intraday Auto Trading Manager with full trade persistence, rule-based risk management, and daily performance tracking.

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📘 Overview

TradeManager.py is a Python-based automated trade manager that combines professional risk control, performance logging, and capital discipline.
Designed for intraday traders, investors, and quantitative analysts, it helps manage trades with strict loss/profit limits, ensuring capital protection and consistency.

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⚙️ Core Features

💼 Portfolio & Risk Management

• Capital Tracking – Auto carry-forward of daily closing balance.
• Position Sizing – Based on risk % of total capital.
• Max Daily Drawdown / Profit Cap – Automatically halts trading when daily limits are reached.
• Capital Update Menu – Modify default capital interactively and persist across sessions.

📊 Trade Rules

• Limit simultaneous open trades: max_open_trades
• Restrict total daily loss and profit trades:
  • max_loss_trades
  • max_target_trades
• Auto-block further entries after hitting limits.
• Hardcoded Startup Trades – Useful for testing and demo environments.

🧾 Database Persistence (SQLite)

All trade and performance data are stored locally in trade_manager.db:

• open_trades – Current running trades
• trade_log – Historical closed trade performance
• daily_stats – Day-wise P&L and metrics

📈 Reports

Generate and review analytics directly in the terminal:

• Intraday Stock-wise Report (Today or custom date)
• Weekly Summary (Last 4 weeks)
• Monthly Performance Summary

🧠 Intelligent Auto-Stop Logic

Automatically pauses the system if:

• Daily drawdown limit exceeded
• Profit target achieved
• Too many loss trades occurred

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pip install TradeManager

Usage

#!/usr/bin/env python3
"""
Launcher file for AutoTradeManager class.
Edit the variables below to configure your session.
"""

from Trademanager import AutoTradeManager

# CONFIG / HARDCODED TRADES
# =========================================================

DB_FILE                     = "trade_manager.db"

DEFAULT_CAPITAL             = 10000.0
DEFAULT_RISK_PCT            = 1.0             # Percent of capital risked per trade (2%)

# Auto-stop defaults (percent of initial capital)
DEFAULT_MAX_DRAWDOWN_PCT    = 3.0             # -3% daily drawdown
DEFAULT_MAX_PROFIT_PCT      = 5.0             # +5% daily profit cap (optional)

MAX_OPEN_TRADES             = 3
MAX_LOSS_TRADES             = 1
MAX_TARGET_TRADES           = 2

# Hardcoded startup option (you asked for this — not ignored)
HARD_CODED_MODE_ON_START = False              # True  False

HARDCODED_TRADES = [
    {"symbol": "NIFTY", "entry": 25000, "stop_loss": 24800, "target": 25200, "lot_size": 50},
    {"symbol": "BANKNIFTY", "entry": 61000, "stop_loss": 60500, "target": 62000, "lot_size": 25},
]


if __name__ == "__main__":
    atm = AutoTradeManager(
        db_file                 = DB_FILE,
        default_capital         = DEFAULT_CAPITAL,
        default_risk_pct        = DEFAULT_RISK_PCT,
        max_drawdown_pct        = DEFAULT_MAX_DRAWDOWN_PCT,
        max_profit_pct          = DEFAULT_MAX_PROFIT_PCT,
        max_open_trades         = MAX_OPEN_TRADES,
        max_loss_trades         = MAX_LOSS_TRADES,
        max_target_trades       = MAX_TARGET_TRADES,
        hardcoded_mode          = HARD_CODED_MODE_ON_START,
        hardcoded_trades        = HARDCODED_TRADES,
    )
    atm.run()

🧩 Configuration Parameters

Parameter	Type	Description	Default
db_file	str	SQLite database filename	trade_manager.db
default_capital	float	Starting capital	10000.0
default_risk_pct	float	Risk % per trade	1.0
max_drawdown_pct	float	Daily drawdown stop	3.0
max_profit_pct	float	Daily profit stop	5.0
max_open_trades	int	Concurrent open positions	3
max_loss_trades	int	Max allowed loss trades per day	1
max_target_trades	int	Max allowed target hits per day	2
HARD_CODED_MODE_ON_START	bool	Enable/disable startup trades	False

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Example Workflow

1. Start the manager → initializes database
2. Add new trade with stop loss and target
3. Manager auto-adjusts available capital
4. Logs results upon close
5. Displays P&L and risk compliance report

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📂 Database Schema

open_trades

Field	Type	Description
id	INTEGER	Auto ID
symbol	TEXT	Stock/Instrument
entry_price	REAL	Entry level
stop_loss	REAL	SL value
target	REAL	Target price
qty	INTEGER	Quantity
status	TEXT	Active/Closed

trade_log

Field	Type	Description
id	INTEGER	Auto ID
symbol	TEXT	Stock
pnl	REAL	Profit/Loss
exit_reason	TEXT	Target/SL/Manual
date	TEXT	Trade date

daily_stats

Field	Type	Description
date	TEXT	Trading date
capital	REAL	End-of-day capital
daily_gain	REAL	Day P&L
drawdown	REAL	Daily drawdown %

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🧰 Key Modules Used

• sqlite3 – Data persistence
• pandas – Data manipulation and reporting
• rich – Colored and formatted terminal output
• datetime – Trade and report timestamps

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🧑‍💼 Example Output (Terminal View)

📋 ORDER REVIEW
────────────────────────────────────
💰 Available Capital: ₹10000.00
💸 Risk per Trade: ₹100.00 (1%)
📈 Symbol: RELIANCE
🎯 Target: ₹2800.00
🛑 Stop Loss: ₹2700.00
✔️ Quantity: 10
────────────────────────────────────
✅ Trade Added Successfully!

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🧠 Future Enhancements

• 🔮 ML-based profit probability prediction
• 📡 Live market data integration
• 💬 Telegram / Discord alerts
• 🧾 CSV export of reports
• 🕹️ GUI dashboard (Tkinter / Streamlit)

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⚠️ Disclaimer

This tool is built for educational and analytical use.
It does not execute real trades.
Always verify decisions manually before executing orders in live markets.

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