Market GPT for a trading edge?

ChatGpt?
I think you can use it for your school projects and for your general knowledge.
Creating an edge based on that? doesn't seem really logical

 

It all depends on your skills

 

progress update on risk code project, all below written by gpt.

Certainly! Here's a code snippet that incorporates a system with inputs for bracket orders, breakeven with transaction cost, and three levels of adjustable trailing stops for profit and stop loss:

powerlanguage
inputs:
EntryPrice(0), // Entry price for the trade
Quantity(1), // Number of contracts to trade
ProfitTargetTicks(10), // Profit target in ticks
StopLossTicks(10), // Initial stop loss in ticks
BreakevenTicks(2), // Number of ticks to trail for breakeven stop
TransactionCost(2), // Transaction cost per contract
TrailingStop1Ticks(10), // Trailing stop level 1 in ticks
TrailingStop2Ticks(20), // Trailing stop level 2 in ticks
TrailingStop3Ticks(30); // Trailing stop level 3 in ticks

vars:
EntryPriceAdjusted(0), // Entry price adjusted for transaction cost
BreakevenTriggered(false), // Flag to track breakeven stop triggered
BreakevenStopPrice(0), // Breakeven stop price
TrailingStop1Triggered(false), // Flag to track trailing stop level 1 triggered
TrailingStop2Triggered(false), // Flag to track trailing stop level 2 triggered
TrailingStop3Triggered(false); // Flag to track trailing stop level 3 triggered

// Adjust entry price for transaction cost
EntryPriceAdjusted = EntryPrice + TransactionCost * MinMove;

// Entry order
Buy("EntryOrder") Quantity shares next bar at EntryPriceAdjusted stop;

// Profit target order
Sell("ProfitTarget") Quantity shares next bar at EntryPriceAdjusted + ProfitTargetTicks * MinMove limit;

// Initial stop loss order
Sell("StopLoss") Quantity shares next bar at EntryPriceAdjusted - StopLossTicks * MinMove stop;

// Breakeven stop logic
if BreakevenTriggered = false and High >= EntryPriceAdjusted + BreakevenTicks * MinMove then
begin
BreakevenStopPrice = EntryPriceAdjusted;
BreakevenTriggered = true;
end;

if BreakevenTriggered then
Sell("BreakevenStop") Quantity shares next bar at BreakevenStopPrice stop;

// Trailing stop logic
if Low <= EntryPriceAdjusted - TrailingStop1Ticks * MinMove then
TrailingStop1Triggered = true;

if TrailingStop1Triggered then
Sell("TrailingStop1") Quantity shares next bar at Lowest(Low, 1) + TrailingStop1Ticks * MinMove stop;

if Low <= EntryPriceAdjusted - TrailingStop2Ticks * MinMove then
TrailingStop2Triggered = true;

if TrailingStop2Triggered then
Sell("TrailingStop2") Quantity shares next bar at Lowest(Low, 1) + TrailingStop2Ticks * MinMove stop;

if Low <= EntryPriceAdjusted - TrailingStop3Ticks * MinMove then
TrailingStop3Triggered = true;

if TrailingStop3Triggered then
Sell("TrailingStop3") Quantity shares next bar at Lowest(Low, 1) + TrailingStop3Ticks * MinMove stop;

In this code snippet, the inputs allow you to specify the entry price, quantity, profit target, stop loss, breakeven, transaction cost, and three levels of trailing stops. The entry order, profit target order, and initial stop loss order are placed based on the specified inputs.

The code also includes logic for the breakeven stop, where the breakeven stop price is triggered when the high reaches a specified number of ticks above the entry price. Additionally, there are trailing stop levels that are triggered when the low reaches a certain distance below the entry price.

Please note that this is a simplified example, and you may need to further customize and adapt the code to your specific trading strategy and platform. Also, ensure to thoroughly test and validate the strategy before using it in live trading, considering the potential risks and transaction costs involved.

 

Have you already tested it? What were the results?

 

I’ve always wondered what AI can do for trading.

 

Wrote about it before, but you also can try to code with GTP.

Here are some key advantages of using GPT:

• Data analysis and pattern recognition: GPT can process and analyze large amounts of financial data, helping traders identify complex patterns and relationships that may be difficult for humans to detect. This assists in making informed trading decisions.
  
  
• Market research and sentiment analysis: GPT can analyze news, social media, and other sources to provide insights into market sentiment. It helps traders assess market expectations and investor sentiment.
  
  
• Forecasting and prediction: GPT can be used to generate forecasts for price movements, market volatility, and other factors based on historical data analysis.
  
  
• Risk management: GPT can help identify risks, optimize portfolio allocation, and implement risk mitigation strategies.
  
  
• Automated trading systems: GPT can be integrated into algorithmic trading systems, where it analyzes real-time market data and executes trades based on predefined rules or strategies.

 

I've recently finally started using GPT for a trading edge, though I had doubts. Well, now I think that it can be a game-changer, especially when combined with proximity marketing. Its language model can analyze market trends, predict price movements, and provide valuable insights to traders. All this eases the process. I'm currently combining GPT's capabilities and proximity marketing strategies, and it helps me target potential customers in real time based on their location and preferences. Of course, I'm pretty new to this technology (like most of us here) and I don't know what consequences we can have in the future, but for now, I think it all looks promising.