Strategy Lab - TradingGPT Pro

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Strategies

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Symbol

Interval

Bars

Classic

tgp API Reference

tgp.ohlcv('AAPL', '1d') → DataFrame (date,open,high,low,close,volume)

tgp.price('AAPL') → float (latest close)

tgp.fundamentals('AAPL') → dict (PE, market_cap, ...)

tgp.news('AAPL', min_score=80) → scored news list

tgp.news_score('AAPL', 80, 10) → bullish/bearish summary

tgp.ohlcv('^VIX') → VIX regime data

tgp.event → dict (trigger event data)

Indicators

tgp.sma(series, period) → Simple MA

tgp.ema(series, period) → Exponential MA

tgp.rsi(series, 14) → RSI (0-100)

tgp.macd(series) → (line, signal, hist)

tgp.bbands(series, 20) → (upper, mid, lower)

tgp.atr(high, low, close, 14) → ATR

tgp.stoch(high, low, close) → (%K, %D)

tgp.vwap(high, low, close, vol) → VWAP

Signals

tgp.crossover(a, b) → bool Series (a crosses above b)

tgp.crossunder(a, b) → bool Series (a crosses below b)

tgp.signal(positions) — Required! 1=long, -1=short, 0=flat. Must match data length.
Backtest: outputs metrics. Live: outputs last signal for automation chain.

Premium strategy code is hidden on your plan. You can run a server-side backtest, but code editing and deployment require a paid tier. Upgrade

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Select a workflow from the left, or backtest a strategy and create a paper workflow.

Pinned Sample Event

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Run a Backtest, then move the same strategy into paper automation

Your code must end with tgp.signal(positions)

Running backtest...

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Return

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Buy & Hold

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vs B&H

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Max DD

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Sharpe

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Exposure

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Win Rate

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Trades

Next Step

Paper first

Equity Curve

Recent Trades

Side	Entry	Exit	Return

Pick a workflow or deploy a tested strategy to run workflow experiments here.

Workflow Test Bench

Full Editor

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Errors

Mode

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Type

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Replay Result

Conditions

Side effects

Dry Run Actions

Playground Variants

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Deploy as Automation

Automation Name

Trigger

Cron Expression

Condition

Value

Min Score

Sentiment

Keywords

Event Type

A private webhook URL will be generated after deployment. External alerts can call it, then this strategy code runs through the same paper workflow.

Execution

Sizing

Lots

Paper Equity

Risk %

Stop Pips

TP R

Max Lots

Data comes from Yahoo for strategy evaluation; paper orders use cTrader-compatible symbol mapping. Live orders stay behind the cTrader live-readiness gate.

You haven't backtested this strategy yet. Consider running a backtest first.

Backtest Truth Engine grade is low. Keep this in paper mode and improve sample size, drawdown, or cost assumptions before live use.

Strategy will run in paper trading mode. Review replay, dry-run, playground variants, and live-readiness before any cTrader live promotion.

Strategy Copilot

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I can write trading strategies, debug your code, run backtests, and help tune workflows. Try:
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• "Deploy it to run every weekday at 9:30"

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