NVDA, MSFT, SPY, AAPL, AMZN, TSLA Trading Plan - Highly recommended 9 23 2024

Rohan Duhaney

856 522 3601

$rohanduhaney

Smartgstore.com

smartduhaney@gmail.com

Summary of Your Trading Levels:

Level 1 - Data Fetching:

You've fetched data for key stocks like NVDA, MSFT, SPY, AAPL, AMZN, TSLA. The data includes important financial information such as historical prices, volume, and indicators.

Level 2 - Predict Price:

Based on the predictions from your system, you now have the potential gains and losses calculated along with the ROI. Here are the relevant examples:

  1. MSFT:
    • Predicted Gain/Loss: $126.16
    • ROI: 73.91%
    • Stop-Loss: $434.22
    • Strategy: Buy Call Option, targeting a rise in price.
  2. AAPL:
    • Predicted Gain/Loss: $131.54
    • ROI: 103.37%
    • Stop-Loss: $227.62
    • Strategy: Buy Call Option.
  3. SPY:
    • Predicted Gain/Loss: $58.14
    • ROI: 34.99%
    • Stop-Loss: $565.17
    • Strategy: Buy Call Option.

(Additional stocks have similar predictions with stop-loss settings as shown in [file 115] and [file 114].)

Level 3 - Analysis & Strategy:

Your analysis provided key advice on when to enter the market, based on the technical indicators, with a focus on using Stop Market Orders to automate your strategy. For each stock, you've carefully set stop-loss levels based on historical lows and highs to minimize risk.

Level 4 - Pine Script for Perfect Entry and Exit:

To automate the process of setting up perfect entry and exit points, here is a Pine Script that calculates the best time to buy or sell based on RSI and moving averages:

pinescript

Copy code

//@version=5

indicator("Perfect Entry and Exit", overlay=true)

Ā 

// Input parameters for time frames

shortPeriod = input.int(20, title="Short MA Period")

longPeriod = input.int(50, title="Long MA Period")

rsiPeriod = input.int(14, title="RSI Period")

rsiOverbought = input.int(70, title="RSI Overbought")

rsiOversold = input.int(30, title="RSI Oversold")

Ā 

// Calculate MA and RSI

shortMA = ta.sma(close, shortPeriod)

longMA = ta.sma(close, longPeriod)

rsi = ta.rsi(close, rsiPeriod)

Ā 

// Buy Signal: Price above long MA, short MA crosses above long MA, and RSI is oversold

buySignal = ta.crossover(shortMA, longMA) and rsi < rsiOversold

Ā 

// Sell Signal: Price below long MA, short MA crosses below long MA, and RSI is overbought

sellSignal = ta.crossunder(shortMA, longMA) and rsi > rsiOverbought

Ā 

// Plot Buy and Sell Signals

plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")

plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")

Ā 

// Plot MAs and RSI

plot(shortMA, title="Short MA", color=color.blue)

plot(longMA, title="Long MA", color=color.orange)

How to Use the Script:

  • Timeframe: Best used on 1-hour or daily timeframes for steady income.
  • Signals: This script will give you Buy signals when the RSI indicates oversold conditions (ideal for entering) and Sell signals when overbought.

Next Steps:

  • Select Best 3 Performers: Based on the simulations, you can now pick the top 3 performers like MSFT, AAPL, SPY for live trading.
  • Set Stop-Loss Orders: Make sure to use the Stop Market order type with the exact stop-loss values provided in your summary.

Your Contact and Letterhead:

SmartD Stock Prediction Service

Providing precise stock and option strategies to put money in your hands.

Contact:

  • Email: smartduhaney@gmail.com
  • Website: SmartGStore.com (Fill out the form for personalized reports)

Get detailed, actionable reports with automated analysis using Pine Script for entry and exit points. We'll help you make informed trading decisions quickly.

Ā 

Back to blog