Steps to Learn How to Implement AI

AI Implementation (Quick Start - easiest way)

1. Step 1: Open Easy AI Setup and follow only the “Do this now” button each time.
2. Step 2: Save bot settings, fund live mode, and pass broker bridge test.
3. Step 3: Open AI Account View and start hands-free AI trading.

If you are new, this quick start is enough. Use the detailed steps below only if you want deeper technical context.

Step 1: Define your AI use case

• Pick one clear goal first (signal generation, setup scoring, risk sizing, or automation).
• Write what “success” looks like in measurable terms.
• Avoid trying to automate everything at once.

Step 2: Collect and structure your data

• Use consistent symbols, timestamps, and labels.
• Separate data into train/test periods to reduce overfitting.
• Track data source quality and refresh frequency.

Step 3: Build a baseline model

• Start with a simple baseline before complex model stacks.
• Use explainable outputs (confidence, rationale, risk levels).
• Version every prompt/model setting change.

Step 4: Add risk controls first

• Set max risk per trade and max sector exposure.
• Enforce stop loss and take profit logic before execution.
• Pause automation when market regime changes.

Step 5: Test in paper mode

• Run in Test Area with realistic slippage assumptions.
• Review win rate, drawdown, and exposure concentration.
• Only move forward when results are stable across different periods.

Step 6: Go live gradually

• Open a live brokerage account and start with small capital.
• Use manual-confirm mode before enabling more automation.
• Keep monitoring model drift and performance decay.

Step 6.5: Connect AI to your broker bridge

• Select broker and complete account verification + 2FA.
• Enable broker API permissions (read, account, trade).
• Add account ID, API key, and API secret in Broker Connect page.
• Switch execution mode to Broker Linked.
• Run connection test and resolve any failed checks.
• Enable live trading mode only after bridge test is fully green.

Step 7: Keep improving

• Log every cycle and review failures weekly.
• Promote changes only after passing paper retests.
• Maintain rollback settings so you can quickly return to a safe config.

How AI gets implemented in DumbDollars

• Implementation layer 1: You set prompt + risk rules in AI Bot Setup.
• Implementation layer 2: AI uses website signal inputs to rank opportunities.
• Implementation layer 3: Broker bridge converts approved AI tickets into executable orders.
• Implementation layer 4: Account View shows what AI proposed, what passed risk gates, and what was submitted.

What AI is amplifying (signal sources)

• AI Trade Queue: chart-based setups you explicitly send into execution queue.
• Trend Trades: social momentum names used as directional context.
• High IV Tracker: elevated-volatility symbols that can affect risk/reward filtering.
• Prompt constraints: preferred/avoided symbols and sectors are amplified when ranking trades.

You can verify these amplified inputs in AI Brokerage Account View → Execution Center → Website Inputs.