Primary filings
Use current regulatory filings, earnings releases and investor materials for reported numbers. Separate management guidance from analyst estimates.
Stock and index prompts must distinguish company fundamentals from the instrument used to trade market exposure. AAPL shares, an S&P 500 ETF, an index future and a broker CFD require different data, costs and event controls.
The prompt should route company research, chart analysis and index mechanics through separate evidence paths.
Use current regulatory filings, earnings releases and investor materials for reported numbers. Separate management guidance from analyst estimates.
State whether price and volume are adjusted for splits and dividends. Include earnings, ex-dividend and major company-event dates.
Distinguish cash index, futures, ETF, options and broker CFD. Confirm trading hours, rollover and dividend treatment.
Compare company or index performance with a declared benchmark, sector and currency rather than an arbitrary chart.
One prompt should not mix incompatible valuation, chart and derivative claims without identifying the instrument.
| Research object | Primary evidence | Analytical focus | Common failure |
|---|---|---|---|
| Individual stock | Filings, earnings, price and volume data | Business, valuation, catalysts and chart context | Using stale financial figures |
| Cash index | Index methodology and constituent data | Breadth, concentration and macro regime | Treating the index as a tradable contract |
| ETF | Fund documents, holdings, NAV and trading data | Tracking, liquidity, fees and distributions | Ignoring tracking difference |
| Index future | Contract specs, curve, volume and expiry | Basis, rollover and execution | Combining different expiries |
| Index CFD | Broker specification and financing | Tradable levels, spread and holding cost | Assuming cash-index prices and hours |
For AAPL, MSFT, NVDA, AMZN, GOOGL, META, TSLA or any other company, the model should cite the exact filing period and publication date. Revenue, margin, guidance and share count can change every quarter.
A robust prompt asks for reported facts, management claims, consensus expectations, valuation assumptions, bull and bear cases and the evidence that would invalidate each case. It does not ask the model to choose a stock from memory.
An index can rise while many constituents fall if a small group of large weights dominates. Prompt the model to examine breadth, concentration, sector contribution and rebalancing methodology before describing index health.
When the user trades NAS100, US30, SPX500, DAX40, FTSE100 or another broker symbol, the research must also identify whether it represents a CFD and how its hours and financing differ from the underlying benchmark.
Yes. Type any ticker or company symbol. Include the exchange and listing currency, especially for tickers that exist in multiple markets.
Only with current filings, financial data and browsing. Require citations to the exact reporting period and mark every estimate as an estimate.
NAS100 is commonly a broker CFD symbol. Its quote, hours, spread and financing may differ from the cash index, futures or an ETF, so the prompt must identify the actual instrument.
Use one page for each search intent, then compile the final model-aware prompt in the generator.
Model-aware forex prompt methods, research families and evidence standards.
Open topicCompile a private recipe for any supported model, asset and workflow.
Open topicPrompts for chart screenshots, patterns, structure and multi-timeframe evidence.
Open topicPair-specific technical, macro, session and risk research prompts.
Open topicXAUUSD prompts with broker, volatility, rates and event-risk controls.
Open topicSpot and derivative prompts for major crypto assets and 24/7 markets.
Open topicChoose the model, instrument, evidence, strategy and output. The server compiles one of 120 private recipes with the correct capability and verification rules.
Most visitors arrive with one question: build, test, price, or trust. These shortcuts keep the path practical.
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12H Bias Engine, Smart Money Institutional Flow Dashboard and D1/H1 pending-signal logic with MQ5 + EX5 source included via Etsy.
Supply/demand zones, BOS/CHoCH, liquidity levels, FVG, equal highs/lows and confirmed trade-plan logic explained with EX5 download.
Asia range, London raid and New York continuation/reversal planning with internal session backtest stats and entry/SL/TP dashboard.
Tkinter desktop trading workflow, TWS API connection handling, RSI pair logic, risk controls and custom IBKR development positioning.
Use clean MT5 historical data for Python backtests, strategy validation, spread checks and realistic gold EA research workflows.
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Current AI D1 forecasts for 28 pairs and gold — buy/sell probability, predicted close and band, with live timestamps.
Get the paid bundle with MQ5 + EX5 source included: 12H Bias Engine, Smart Money Institutional Flow Dashboard and D1/H1 15-Pip Pending Signal engine. Built for disciplined traders who want logic, logs, dashboards and editable code.
7 global indices — US500, US30, USTEC, UK100, JP225, AUS200, STOXX50 — 9 timeframes (M1 to Monthly), 3M+ candles, 2019–2026. CSV files ready for MT5 backtesting, Python and machine learning.
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