Comments for https://ctrader.com/products/3812

You raise a completely valid point.

Traditional backtesting — replaying historical price data through a fixed algorithm — is not compatible with a bot that makes live AI API calls. The reason is straightforward: AI responses are non-deterministic. The same market conditions on different days will produce different AI outputs, so any backtest result would not be reproducible or statistically meaningful.

This is a fundamental limitation shared by any trading bot that relies on external AI inference, not something specific to True scalper AI, AI Level Trader....
What you can do instead:

1. Forward testing on a demo account. Run the bot on a demo account for 4–8 weeks with real-time market data. This is the only meaningful way to evaluate performance, since you are testing the actual decision-making process under real conditions.

2. Paper log analysis. The bot logs every AI vote, consensus result, and order placed. After a forward test period you can analyze the log to measure win rate per provider, frequency of consensus, and how often the bot placed trades vs. was blocked.

3. Historical prompt replay (manual). You can extract the AI prompts the bot would have sent for a specific historical period and send them manually to evaluate how the AI would have responded — though this is time-consuming and still non-deterministic.

We acknowledge this is a real limitation and we do not advertise backtesting capability for this product. If backtesting is a hard requirement for your workflow, a rule-based bot with deterministic logic would be a better fit.

Best regards

Hey, do you have any additional feedback on the use of the bot? Is it worth the investment? I Saw your question after purchase, and the authors response and noticed you Gave no review nor any additional feedback. Would love some added insights, since I'm also considering the purchase. Would appreciate your feedback, tks

Expert Advice & Best Practices (Not Financial Guarantees)
Trading involves significant risk. A cBot like TrueScalper AI PRO v5.0 is a sophisticated tool, but it remains software interpreting chaotic data. Here are some insights based on the bot's logic:

1. AI Scanning Frequency
   The bot sends technical data (RSI, ADX, EMA) to the AI.

Advice: Avoid setting the scan interval too short (like 1 or 2 minutes). Even for a scalper, the AI needs clear candle closures to avoid contradictory signals. Scanning every 5–10 minutes often filters market "noise" better than a continuous loop.

1. The Watchlist Trap
   The code allows monitoring many symbols (Gold, Indices, Crypto).

Advice: Start with 2 or 3 symbols you know well. Monitoring 10+ assets simultaneously could lead to multiple open positions at once, saturating your margin and increasing systemic risk if the market moves in one direction (e.g., a sudden USD spike).

1. Exit Strategy: Pips vs. ATR
   The bot offers different exit modes.

Advice: ATR mode is great because it adapts to volatility, but during high-impact news, Stop Losses can become too wide or too tight. If you prefer mathematical predictability for your maximum loss, Pips (fixed) mode might offer a more consistent experience.

1. AI Model Choice
   Unlike previous versions, this bot uses one AI model at a time.

Advice: Don't assume the most expensive model (e.g., Claude 3.5 Sonnet) is inherently better for trading. Sometimes "smaller," faster models like Gemini Flash or GPT-4o-Mini are more reactive to simple technical patterns without over-analyzing.

1. Prop Firm & Drawdown Limits
   The bot has built-in protections (FTMO, etc.).

Advice: Treat these as a second line of defense. Technical glitches or slippage can occur. Always keep a human eye on your total drawdown, especially during market opens or weekend closes.

1. Demo Testing is Mandatory
   Advice: Run the bot on a Demo account for at least one full week. Observe how it reacts during the London and New York sessions. Only live observation will tell you if its entry logic (breakout + AI confirmation) aligns with your risk tolerance.

How to obtain your AI API Keys
To use the AI features, you must provide your own API key. Here is how to get them for the most popular providers:

1. Google Gemini (Recommended & Often Free)
   Go to Google AI Studio.

Log in with your Google account.

Click on "Get API key" in the left sidebar.

Create a new API key in a new project.

Copy the key and paste it into the API Key field in the cBot parameters.

In the cBot, set AI Provider to Gemini_Flash or Gemini_Pro.

1. OpenAI (GPT-4o / GPT-4o Mini)
   Go to OpenAI Platform.

Create an account and add a small amount of credit (e.g., $5).

Navigate to "API Keys" in the dashboard.

Click "Create new secret key".

Copy the key and paste it into the cBot.

In the cBot, set AI Provider to GPT4o or GPT4o_Mini.

1. Anthropic (Claude Sonnet/Haiku)
   Go to the Anthropic Console.

Create an account and add credits.

Go to "Settings" -> "API Keys".

Generate a new key.

In the cBot, set AI Provider to Claude_Sonnet or Claude_Haiku.

1. Groq (Llama Models - High Speed)
   Go to Groq Cloud.

Log in and go to "API Keys".

Create a key (often free for low-volume usage).

In the cBot, set AI Provider to Llama_Groq.

Final Note: Once you paste the key and start the bot, check the cTrader "Journal" tab. If you see a "Connection Successful" or a scan log, the API is working. If you see an "HTTP 401" error, the key is incorrect or you have no credits left with the provider.