investment in mutual funds at 2.3pm after running this script. first get the values.

 provide, chatgtp suggest pytoncode, by modify various other paramters to take decision? in pyton code?

ChatGPT said:

Great — let's extend your Colab Python code to accept and process multiple decision parameters for better mutual fund investment decisions.

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✅ Enhanced Decision Parameters for Investment

We'll consider the following parameters in the model:

Parameter	Type	Example Value	Weight in Decision
Nifty % change till 2 PM	Market trend	+0.62%	30%
FII net inflow (3-day avg)	Institutional	₹1,102 Cr	20%
DII net inflow (3-day avg)	Institutional	₹3,968 Cr	20%
India VIX (volatility)	Risk factor	12.4	15% (inverse)
USD/INR trend	Macro	₹83.2 → ₹83.0	10%
Crude oil price trend	Macro	$84 → $82	5%

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📊 Final Score Formula

text
Final Score = 
(0.3 × Nifty_scaled) + 
(0.2 × FII_scaled) + 
(0.2 × DII_scaled) + 
(0.15 × (20 - VIX)) + 
(0.1 × USDINR_change_scaled) + 
(0.05 × Crude_change_scaled)

---

🐍 Python Code (Enhanced with Custom Parameters)

python
# User Inputs
nifty_pct_change = 0.62        # Nifty 50 % till 2 PM
fii_3day_avg = 1102.77         # In crores
dii_3day_avg = 3968.4          # In crores
india_vix = 12.4               # VIX: Lower = Better
usd_inr_change = -0.2          # INR appreciation is +ve
crude_change = -2.0            # Oil price down = positive

total_capital = 10_00_000  # ₹10 lakh

# Normalization Functions
def scale_flow(x): return max(min(x / 500.0, 10), -10)
def scale_nifty(x): return max(min(x * 20, 10), -10)
def scale_macro(x): return max(min(x * 5, 10), -10)

# Scaled values
nifty_scaled = scale_nifty(nifty_pct_change)
fii_scaled = scale_flow(fii_3day_avg)
dii_scaled = scale_flow(dii_3day_avg)
vix_scaled = 20 - india_vix  # lower VIX is better
usd_inr_scaled = scale_macro(usd_inr_change)
crude_scaled = scale_macro(crude_change)

# Score Calculation with weights
score = (
    0.3 * nifty_scaled +
    0.2 * fii_scaled +
    0.2 * dii_scaled +
    0.15 * vix_scaled +
    0.1 * usd_inr_scaled +
    0.05 * crude_scaled
)

# Investment Strategy
if score > 8:
    invest_pct = 0.5
    comment = "📈 Strong market sentiment"
elif score > 5:
    invest_pct = 0.3
    comment = "🔄 Stable to positive trend"
elif score > 2:
    invest_pct = 0.15
    comment = "⚠️ Cautious approach advised"
else:
    invest_pct = 0.0
    comment = "🛑 Avoid investing today"

invest_amount = int(invest_pct * total_capital)

# Output
print(f"🔢 Final Score: {round(score, 2)}")
print(f"💡 Decision: {comment}")
print(f"💰 Recommended Investment: ₹{invest_amount} ({int(invest_pct*100)}%)")

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🛠 How to Use This Code:

• Run daily between 1:30 PM – 2:30 PM IST

• Update input values manually (can automate later via APIs)

• Decision is printed as per current scenario

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✅ Future Enhancements Possible:

• Pull Nifty/VIX/Crude/USD-INR data live via:

  • Yahoo Finance API

  • NSE/BSE endpoints

• Save results to Google Sheets or Excel

• Track total investment history + balance

Would you like me to add any automation (API, web-scraping) or save the output to a file so you can keep a daily log?

You said:

india_vix = 12.4 # VIX: Lower = Better usd_inr_change = -0.2 # INR appreciation is +ve crude_change = -2.0 where to find online these paramters?

ChatGPT said:

Great question! These 3 parameters — India VIX, USD/INR change, and Crude Oil change — are freely available online from financial websites. Here's how and where you can find them:

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✅ 1. India VIX (Volatility Index)

🔗 Live URL:

• https://www.nseindia.com

📍 How to find:

1. Visit NSE Homepage → Scroll to Indices section.

2. Look for “India VIX” (near Nifty/Sensex)

3. It shows a value like 12.40 (lower = less fear)

🔄 Refresh time:

• Updates every few minutes during market hours

---

✅ 2. USD/INR Exchange Rate Change

🔗 Reliable sources:

• https://www.investing.com/currencies/usd-inr

• https://www.moneycontrol.com/markets/fno-market-snapshot/currency-futures/USDINR/

📍 How to calculate change:

Let’s say:

• Previous Close = ₹83.20

• Current = ₹83.00

Then:

python
usd_inr_change = (83.00 - 83.20) = -0.20

Means INR appreciated → positive for India.

---

✅ 3. Crude Oil (Brent) Price Change

🔗 Sources:

• https://www.investing.com/commodities/brent-oil

• https://oilprice.com/

📍 How to calculate change:

If:

• Previous = $84

• Current = $82

Then:

python
crude_change = (82 - 84) = -2.0

Means oil price is falling → good for India (importer)

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✅ Summary Table

Parameter	Where to Find	What to Note
India VIX	nseindia.com	Under “Market Indices”
USD/INR	Investing.com	Look at current vs previous close
Crude Oil	Investing.com	Brent Crude; compare daily prices

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✅ Optional: Automate Using Python APIs

Would you like a version of your Python code that:

• Automatically scrapes these values using requests + BeautifulSoup or

• Uses financial APIs like Yahoo Finance (yfinance)?

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