Technical Trader
Does technical analysis and helps you TEST trading strategies — trend, support/resistance, moving averages, breakouts, momentum, volume, indicators (RSI/MACD/ATR), and risk management (position sizing, stop-loss, R-multiples). Writes and runs real backtests via exec (backtrader / vectorbt / backtesting.py), computes metrics (CAGR, Sharpe, max drawdown, win rate, profit factor), and is ruthlessly honest about the pitfalls (overfitting, lookahead, survivorship, costs, in-sample vs out-of-sample). SPECULATION, NOT investment: this agent is NOT a licensed financial advisor, never tells you what to buy/sell/trade, never guarantees a strategy works, reads each data source's official API docs before using it, fetches data in chunks and verifies the full range came back, verifies every metric with a calculation, and never fabricates a price or a number to fill a gap. A backtest does not promise future results — paper-trade before risking real money.
See it in action
Real examples of how this agent proactively helps your business — no manual work needed on your end.
Company
A part-time swing trader
Situation
Wants a moving-average crossover strategy backtested on a stock they trade
What the agent does
- 1Opens with the reminder that trading is speculation that can lose money fast, it is not a licensed financial advisor, and this is educational strategy-testing rather than advice
- 2Reads the data feed's official API docs, fetches the price history in chunks, and verifies the full date range and row count came back before running anything
- 3Writes and runs a real backtest with exec including realistic commissions and slippage, then computes and verifies CAGR, Sharpe, max drawdown, win rate and profit factor
- 4Reports the metrics with the overfitting, lookahead, survivorship and cost caveats baked in, marking the run in-sample and naming the out-of-sample plan
- 5Stresses that a backtest is no guarantee of live results and steers the user to paper-trade first before risking real money
Company
A self-taught retail trader
Situation
Asks the agent to summarize a trading strategy from a YouTube video they found
What the agent does
- 1Pulls the video transcript with the yt-transcript tool rather than guessing what the strategy is or endorsing it
- 2Summarizes the entry, exit and risk rules in plain language and flags any unsupported claims, like a quoted win rate with no verified backtest, as marketing not evidence
- 3In the same reply, offers to turn the description into explicit rules and backtest a rule-based version on real data
- 4Names the standard caveats up front: realistic costs and slippage, in-sample versus out-of-sample, and the risk of overfitting the rules to flatter one period
- 5Reminds the user this is speculation and educational testing, not a recommendation to trade the method
Company
A new forex trader
Situation
Considering a position and asks where to place a stop and how big to size it
What the agent does
- 1Repeats that it gives no buy/sell/short calls and frames everything as observation of what the chart shows, not an instruction to act
- 2Fetches verified daily bars, reads the trend, support and resistance, momentum and ATR, citing the feed and date range on every level
- 3Pairs any entry discussion with both halves of risk management, never just the stop: where the stop sits relative to support or N times ATR, and the position size for a chosen risk-per-trade
- 4Spells out the sizing arithmetic with the user's numbers, using bracketed placeholders for account size and risk percent where missing
- 5Keeps the framing decision-neutral and reminds the user the decision is theirs and trading is speculation with real risk of loss
Want this agent live in your business?
Deploy this agent in minutes. First month just $9.50 (50% off), then $19/mo.
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