Capability gate
The prompt checks whether the selected LLM actually has image vision, live web search, files, code execution or structured output. Missing tools become disclosed limitations.
Forex prompt research library
AI Forex Trading Prompts Built for Evidence, Not Hype
A practical prompt system for chart reading, market research, risk review, strategy testing and trading code. The library routes each task through model, data and instrument rules instead of pretending one universal prompt can see live markets.
120
private recipes across twelve research families
What a reliable trading prompt must control
The most useful prompts define the evidence contract before asking for an opinion. Four controls prevent most polished but unsupported answers.
Market data contract
Symbol, venue, timezone, timeframe and data freshness are explicit. The model cannot silently replace missing OHLC, news or broker specifications with remembered values.
Evidence classes
Direct chart observations, sourced current facts, analytical inferences and unknowns are separated. This makes confident wording easier to audit.
Falsification
Every important interpretation includes contradictory evidence, an alternative scenario and a condition that would invalidate the main thesis.
How the major LLM workflows differ
Model names change quickly. Route prompts by verified capability rather than permanent claims that one brand is always best.
| Model workflow | Strong fit | Current data requirement | Chart requirement |
|---|---|---|---|
| ChatGPT / OpenAI reasoning | Research synthesis, structured analysis, code and calculations | Enable Search, Deep Research or an API web-search tool | Attach the chart in the same conversation |
| Claude | Long evidence reviews, research memos and rule audits | Enable Research or web search and require citations | Use a vision-capable model and readable images |
| Gemini | Multimodal files, chart sets and web research | Use Deep Research or Google Search grounding | Place the written task before the images |
| Qwen / Qwen-VL | Open multimodal workflows and tool-using agents | Connect Qwen-Agent or another live search source | Use a VL model; text-only models cannot inspect charts |
| MiMo / MiMo-VL | Visual reasoning, coding and agent workflows | Connect the separate web-search capability | For MiMo-VL, place visual media before the task |
| Codex | MQL, Pine, Python, backtests and reproducible verification | Internet access or supplied files for current claims | Use image input only when visual inspection is part of the task |
Current model references:OpenAI model guidanceClaude web searchGemini image inputsQwen-VL capabilitiesMiMo-VL prompting
Twelve prompt families, one controlled compiler
The private catalog covers chart observation, pattern falsification, market structure, multi-timeframe alignment, macro research, risk management, strategy design, quantitative validation, code generation, trade management, portfolio research and journal review.
The generator does not expose the full catalog. It selects a recipe server-side and combines it with the chosen model, asset class, methodology, timeframe, data mode, risk context and output format. The user receives only the compiled result.
- Visual tasks start with an image-quality and open-candle check.
- Current claims require browsing and direct source links.
- Quant claims require machine-readable data and reproducible calculations.
- Code tasks require platform-specific APIs, tests and error handling.
Why role-playing is not quant research
Telling an LLM to act as an institutional trader or PhD does not give it a price feed, broker contract data or statistical validity. Research depth comes from explicit data, definitions, methods and tests.
A serious workflow names transaction costs, prevents look-ahead bias, separates in-sample from out-of-sample results and records every tried parameter variant. A screenshot can support visual observations; it cannot establish stationarity, cointegration, expected return or calibrated probability.
- Use OHLC or trade data for ATR, volatility and performance metrics.
- Use primary releases for central-bank, inflation and earnings facts.
- Use broker symbol properties for position sizing and pip or tick units.
- Use a final untouched holdout before treating a backtest as evidence.
Prompt quality checklist
Instrument identifiedSymbol, venue and contract type are unambiguous.
Data datedThe source, timezone and latest observation are known.
Tools verifiedBrowsing, vision and code execution are not assumed.
Units controlledPips, points, ticks and percentages are not mixed.
Unknowns visibleMissing evidence is listed instead of invented.
Alternative testedThe main interpretation is challenged before conclusion.
Frequently asked questions
Can an AI prompt provide live forex signals?
A prompt cannot create live data access. A model needs a connected price, news or search source, and any output still requires independent verification. The safer use is evidence organization, scenario analysis, coding and review.
Why are the full 120 templates not displayed?
The catalog is compiled on the server. Users define their task and receive one tailored result, while the underlying recipe bank and assembly rules remain private.
Do the same prompts work in every LLM?
The research objective can be shared, but image ordering, browsing, tool calls, context handling and structured outputs differ. The generator adds a model-specific adapter.
Explore the prompt research cluster
Use one page for each search intent, then compile the final model-aware prompt in the generator.
Generator
Compile a private recipe for any supported model, asset and workflow.
Open topicChart Images
Prompts for chart screenshots, patterns, structure and multi-timeframe evidence.
Open topicForex Pairs
Pair-specific technical, macro, session and risk research prompts.
Open topicGold
XAUUSD prompts with broker, volatility, rates and event-risk controls.
Open topicCrypto
Spot and derivative prompts for major crypto assets and 24/7 markets.
Open topicStocks & Indices
Equity, index, earnings, filing and cross-asset research prompts.
Open topicTurn the research method into your prompt
Choose the model, instrument, evidence, strategy and output. The server compiles one of 120 private recipes with the correct capability and verification rules.
Educational research content only. LLM outputs can be incomplete, stale or incorrect. Verify charts, prices, contract specifications, calculations and source dates independently before any financial decision. Model, platform and methodology names are used descriptively; their respective owners retain any associated trademarks. AlgoSpecial is not affiliated with or endorsed by those owners.
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