Start with a question
Apps and agents
Backtest a fixed AAPL strategy with Claude.ai
Define an AAPL price/SMA experiment, submit one historical test and inspect returned status, history and a frozen unseen window.
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Backtest a fixed MSFT strategy with VS Code Copilot
Define a MSFT price/SMA experiment, submit one historical test and inspect returned status, history and a frozen unseen window.
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Backtest a fixed SPY strategy with ChatGPT
Define a SPY price/SMA experiment, submit one historical test and inspect returned status, history and a frozen unseen window.
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Backtest a QQQ strategy with Cursor
Define a frozen QQQ experiment, inspect real tool inputs, preserve its backtest ID and review historical results with Cursor.
Explore →Backtest a SPY strategy with Codex
Define a frozen SPY experiment, inspect real tool inputs, preserve its backtest ID and review historical results with Codex.
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Backtest a SPY strategy with Gemini CLI
Define a frozen SPY experiment, inspect real tool inputs, preserve its backtest ID and review historical results with Gemini CLI.
Explore →Backtest a trading strategy with Claude Code
Use Claude Code to define a historical experiment, poll its backtest and review warnings before testing an unseen period.
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Backtest a trading strategy without code
Describe explicit trading rules in Aurora, review the portfolio configuration, and inspect a bounded historical test before deployment.
Explore →Backtest one AMD strategy with OpenAI Dots
Use OpenAI Dots to save one fixed AMD candidate, review capital, costs and dates, poll the accepted backtest and assess a separate evaluation window.
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Backtest one NVDA strategy with Grok Bot
Use Grok Bot to save one fixed NVDA candidate, review capital, costs and dates, poll the accepted backtest and assess a separate evaluation window.
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Backtest one SPY strategy with Meta Muse
Use Meta Muse to save one fixed SPY candidate, review capital, costs and dates, poll the accepted backtest and assess a separate evaluation window.
Explore →Connect ChatGPT to NexusTrade for trading research
Set up NexusTrade OAuth MCP on a supported ChatGPT surface, verify your account with read tools, and turn a research question into inspectable strategy rules.
Explore →Connect Claude Code to NexusTrade MCP
Connect Claude Code to NexusTrade with the remote MCP endpoint and account-scoped OAuth authorization.
Explore →Connect Claude.ai to NexusTrade for stock research
Add NexusTrade as a Claude custom connector, authorize your account and produce a dated company brief without a terminal.
Explore →Connect Claude.ai to NexusTrade MCP
Connect Claude.ai to NexusTrade with the remote MCP endpoint and account-scoped OAuth authorization.
Explore →Connect Codex to NexusTrade MCP
Connect Codex to NexusTrade with the remote MCP endpoint and account-scoped OAuth authorization.
Explore →Connect Cursor to NexusTrade MCP
Connect Cursor to NexusTrade with the remote MCP endpoint and account-scoped OAuth authorization.
Explore →Connect Meta Muse to NexusTrade for stock research
Create a NexusTrade custom connector in Muse, sign in, check a read-only tool and build a dated company research brief.
Explore →Connect VS Code Copilot to NexusTrade research tools
Install NexusTrade MCP in VS Code, complete OAuth and inspect company research beside your strategy files.
Explore →Connect VS Code to NexusTrade MCP
Connect VS Code to NexusTrade with the remote MCP endpoint and account-scoped OAuth authorization.
Explore →Financial research with Claude Code: company filings and stock fundamentals
Use Claude Code for company financial research with dated filings, revenue, operating cash flow and stock fundamentals. Build a source-backed brief and separate facts from interpretation.
Explore →Financial research with Codex: NVDA filings and fundamentals
Build a cited NVDA company brief with Codex, verify a real reported-metric calculation and preserve research job identity.
Explore →Financial research with Cursor: AMD filings and fundamentals
Build a cited AMD company brief with Cursor, verify a real reported-metric calculation and preserve research job identity.
Explore →Financial research with Gemini CLI: AMZN filings and fundamentals
Build a cited AMZN company brief with Gemini CLI, verify a real reported-metric calculation and preserve research job identity.
Explore →Paper trade a AMD candidate with OpenAI Dots
Create a separate AMD paper book with OpenAI Dots, verify its deployed ID, monitor real paper history and stop without duplicate activation.
Explore →Paper trade a NVDA candidate with Grok Bot
Create a separate NVDA paper book with Grok Bot, verify its deployed ID, monitor real paper history and stop without duplicate activation.
Explore →Paper trade a QQQ strategy with Cursor
Create a separate simulated QQQ deployment, verify type=paper and preserve its running identity and forward history with Cursor.
Explore →Paper trade a reviewed AAPL strategy with Claude.ai
Create a separate simulated AAPL deployment, verify its running identity, read forward history and pause the exact paper book.
Explore →Paper trade a reviewed MSFT strategy with VS Code Copilot
Create a separate simulated MSFT deployment, verify its running identity, read forward history and pause the exact paper book.
Explore →Paper trade a reviewed SPY strategy with ChatGPT
Create a separate simulated SPY deployment, verify its running identity, read forward history and pause the exact paper book.
Explore →Paper trade a SPY candidate with Meta Muse
Create a separate SPY paper book with Meta Muse, verify its deployed ID, monitor real paper history and stop without duplicate activation.
Explore →Paper trade a SPY strategy with Codex
Create a separate simulated SPY deployment, verify type=paper and preserve its running identity and forward history with Codex.
Explore →Paper trade a SPY strategy with Gemini CLI
Create a separate simulated SPY deployment, verify type=paper and preserve its running identity and forward history with Gemini CLI.
Explore →Paper trade a strategy with Claude Code
Create a separate paper deployment, preserve its running portfolio ID, and inspect actual simulated forward history.
Explore →Paper trade an AI-authored strategy
Review an AI-authored strategy, create a separate paper deployment and observe recorded simulated execution going forward.
Explore →Research AAPL with Claude.ai
Reconcile AAPL filing metrics with a verified annual source example, exact SEC tool inputs and a dated research brief.
Explore →Research AAPL with Meta Muse: dated filings and a stock brief
Connect Meta Muse to NexusTrade, verify your account, work through a dated AAPL earnings example and poll one source-backed research job.
Explore →Research AMD with OpenAI Dots: dated filings and a stock brief
Connect OpenAI Dots to NexusTrade, verify your account, work through a dated AMD earnings example and poll one source-backed research job.
Explore →Research GOOGL with ChatGPT
Reconcile GOOGL filing metrics with a verified annual source example, exact SEC tool inputs and a dated research brief.
Explore →Research MSFT with VS Code Copilot
Reconcile MSFT filing metrics with a verified annual source example, exact SEC tool inputs and a dated research brief.
Explore →Research NVDA with Grok Bot: dated filings and a stock brief
Connect Grok Bot to NexusTrade, verify your account, work through a dated NVDA earnings example and poll one source-backed research job.
Explore →Research stocks with AI and primary sources
Use NexusTrade public company pages and Aurora to connect reported fundamentals, disclosures and a source-backed research question.
Explore →Use Claude Code for trading research
Connect Claude Code to NexusTrade, turn a research question into explicit strategies, and review historical and paper results.
Explore →Use Codex for trading research
Connect Codex to NexusTrade and maintain reviewable strategies, historical test evidence and paper deployment records.
Explore →Use Cursor for trading research
Use Cursor’s MCP connection and editor workflow to inspect strategies, run historical tests and review account-scoped research.
Explore →Use Gemini CLI for stock research
Add NexusTrade to Gemini CLI, complete OAuth and build a stock research brief with dated filings and source links.
Explore →Use Grok Bot for trading research
Use Grok Bot with NexusTrade MCP or the Python SDK to research a thesis, define strategies and review historical and paper evidence.
Explore →Use OpenAI Dots for stock research and strategy review
Connect NexusTrade through your dot's plugins, verify account access with read tools, and build a stock-research workflow you can review.
Explore →Model evaluations
Artifact grading and repeatability study
Published 2026-08-08: 23 hand-labeled artifacts covering 14 task types; 3 reducer models in the public table. Defect recall and repeated-grade agreement. See the results, how they were measured and where the findings stop.
Explore →Best AI Models for Agent Execution: Published Evaluations
Which models performed well on agent execution in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
Explore →Best AI Models for Agent Planning: Published Evaluations
Which models performed well on agent planning in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
Explore →Best AI Models for Algorithmic Trading: Task-by-Task Evidence
Compare published model evaluations for options strategies, planning, agent execution, artifact review, sandbox code and stock SQL screening. Each task keeps its own methodology.
Explore →Best AI Models for Artifact Review: Published Evaluations
Which models performed well on artifact review in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
Explore →Best AI Models for Options Strategy Development: Published Evaluations
Which models performed well on options strategy development in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
Explore →Best AI Models for Sandbox Code Generation: Published Evaluations
Which models performed well on sandbox code generation in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
Explore →Best AI Models for Stock Screening: Published Evaluations
Which models performed well on stock screening in NexusTrade's published evaluations? Compare the task, exact versions, costs and evidence limitations.
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Claude Opus 5: Trading Task Evaluations
See how anthropic/claude-opus-5 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Claude Sonnet 4.6: Trading Task Evaluations
See how anthropic/claude-sonnet-4.6 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Claude Sonnet 5: Trading Task Evaluations
See how anthropic/claude-sonnet-5 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Deepseek V4 Flash: Trading Task Evaluations
See how deepseek/deepseek-v4-flash performed in 3 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Deepseek V4 Pro: Trading Task Evaluations
See how deepseek/deepseek-v4-pro performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Eleven models building an options strategy
Published 2026-04-06: 11 model runs; same task, account context, tools and 25-iteration budget. Goal-oriented evaluator score / 100. See the results, how they were measured and where the findings stop.
Explore →Five models completing one sandbox research task
Published 2026-08-08: 5 models on the same single research task; real Modal virtual machines. Grade trajectory, elapsed wall time and billed run cost. See the results, how they were measured and where the findings stop.
Explore →Gemini 3 Flash Preview vs Claude Sonnet 4.6: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →Gemini 3 Flash Preview vs GPT-5.4: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →Gemini 3 Flash Preview vs Grok 4.20: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →Gemini 3 Flash Preview: Trading Task Evaluations
See how google/gemini-3-flash-preview performed in 3 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Gemini 3 Pro Preview: Trading Task Evaluations
See how google/gemini-3-pro-preview performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Gemini 3.1 Flash Lite: Trading Task Evaluations
See how google/gemini-3.1-flash-lite performed in 2 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Gemini 3.5 Flash Lite: Trading Task Evaluations
See how google/gemini-3.5-flash-lite performed in 3 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Gemini 3.5 Flash: Trading Task Evaluations
See how google/gemini-3.5-flash performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Gemini 3.6 Flash: Trading Task Evaluations
See how google/gemini-3.6-flash performed in 3 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Gemma 4 31B: Trading Task Evaluations
See how google/gemma-4-31b performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →GLM 5.2: Trading Task Evaluations
See how z-ai/glm-5.2 performed in 3 trading task evaluations, with exact version, harness, dates and limitations.
Explore →GPT 5 Mini: Trading Task Evaluations
See how openai/gpt-5-mini performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →GPT 5.6 Luna Pro: Trading Task Evaluations
See how openai/gpt-5.6-luna-pro performed in 2 trading task evaluations, with exact version, harness, dates and limitations.
Explore →GPT 5.6 Luna vs Claude Opus 5: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Claude Sonnet 5: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Deepseek V4 Flash: Trading Task Evidence
Compare exact model versions on 3 shared published evaluations. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Gemini 3 Flash Preview: Trading Task Evidence
Compare exact model versions on 2 shared published evaluations. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Gemini 3.6 Flash: Trading Task Evidence
Compare exact model versions on 3 shared published evaluations. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs GLM 5.2: Trading Task Evidence
Compare exact model versions on 3 shared published evaluations. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs MiniMax M3: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Muse Spark 1.1: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna vs Muse Spark 1.2: Trading Task Evidence
Compare exact model versions on 1 shared published evaluation. See each task's rubric, sample, date and cost units.
Explore →GPT 5.6 Luna: Trading Task Evaluations
See how openai/gpt-5.6-luna performed in 5 trading task evaluations, with exact version, harness, dates and limitations.
Explore →GPT 5.6 Terra Pro: Trading Task Evaluations
See how openai/gpt-5.6-terra-pro performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →GPT-5.4-mini: Trading Task Evaluations
See how openai/gpt-5.4-mini performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →GPT-5.4: Trading Task Evaluations
See how openai/gpt-5.4 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
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Grok 4.20: Trading Task Evaluations
See how x-ai/grok-4.20 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Grok 4.5: Trading Task Evaluations
See how x-ai/grok-4.5 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Grok Build 0.1: Trading Task Evaluations
See how x-ai/grok-build-0.1 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Hy3: Trading Task Evaluations
See how tencent/hy3 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Kimi K2.5: Trading Task Evaluations
See how moonshotai/kimi-k2.5 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Kimi K3: Trading Task Evaluations
See how moonshotai/kimi-k3 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Laguna Xs 2.1: Trading Task Evaluations
See how poolside/laguna-xs-2.1 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →MiMo v2 Pro: Trading Task Evaluations
See how xiaomi/mimo-v2-pro performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →MiniMax M3: Trading Task Evaluations
See how minimax/minimax-m3 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Mistral Small 2603: Trading Task Evaluations
See how mistralai/mistral-small-2603 performed in 2 trading task evaluations, with exact version, harness, dates and limitations.
Explore →Models answering 22 stock questions with SQL
Published 2026-08-08: 22 natural-language questions; 6 published model rows. Average answer score, success rate and average execution time. See the results, how they were measured and where the findings stop.
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Muse Spark 1.1: Trading Task Evaluations
See how meta/muse-spark-1.1 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Muse Spark 1.2: Trading Task Evaluations
See how meta/muse-spark-1.2 performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Nemotron 3 Ultra 550B: Trading Task Evaluations
See how nvidia/nemotron-3-ultra-550b performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Next-action execution model bakeoff
Published 2026-08-08: 23-model campaign; 69 frozen decisions × 3 samples; 12 published model rows. Mean next-action score; schema validity, billed cost and production p50 are separate. See the results, how they were measured and where the findings stop.
Explore →Planning models on 29 frozen conversations
Published 2026-08-08: 16-model campaign, 29 frozen conversations; 14 model rows shown in the public table. Mean graded plan score; standard error reported separately. See the results, how they were measured and where the findings stop.
Explore →Qwen3.7 Flash: Trading Task Evaluations
See how qwen/qwen3.7-flash performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Qwen3.8 Max: Trading Task Evaluations
See how qwen/qwen3.8-max performed in 1 trading task evaluation, with exact version, harness, dates and limitations.
Explore →Platforms and brokers
Connect Alpaca to NexusTrade
Review Alpaca trading capabilities, connect an eligible account, and inspect portfolio orders before enabling live trading.
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Connect Public to NexusTrade
Review Public trading capabilities, connect an eligible account, and inspect portfolio orders before enabling live trading.
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Connect Robinhood to NexusTrade
Review Robinhood trading capabilities, connect an eligible account, and inspect portfolio orders before enabling live trading.
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Connect TradeStation to NexusTrade
Review TradeStation trading capabilities, connect an eligible account, and inspect portfolio orders before enabling live trading.
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Connect Tradier to NexusTrade
Review Tradier trading capabilities, connect an eligible account, and inspect portfolio orders before enabling live trading.
Explore →Deploy a tested strategy to Public
Move a NexusTrade paper strategy to a Public brokerage portfolio, or connect Public MCP separately for an agent execution workflow.
Explore →Deploy a tested strategy to Tradier
Connect Tradier in NexusTrade, review the paper-to-live strategy changes and verify the target portfolio, order approvals and pause controls.
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NexusTrade vs Capitalise.ai: plain-language trading automation
Compare plain-language strategy authoring, testing, broker selection and research workflows in NexusTrade and Capitalise.ai.
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NexusTrade vs Composer: saved rules, symphonies and automation
Compare NexusTrade's strategy, research and MCP workflow with Composer's visual symphony editor, backtests, automated trading and published API.
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NexusTrade vs Option Alpha: options bots and strategy research
Compare Option Alpha scanner and monitor automations with NexusTrade options rules, paper portfolios and SDK/MCP research tools.
Explore →NexusTrade vs Public Agents: native workflows and external MCP
Compare Public native Agents, Public MCP and NexusTrade research, backtesting and direct Public brokerage connection.
Explore →NexusTrade vs QuantConnect: strategy workflow and engine control
Compare NexusTrade's saved-strategy and AI-agent workflow with QuantConnect's code-driven LEAN engine, local tooling and documented execution models.
Explore →NexusTrade vs Robinhood Agents: research, rules and account control
Compare NexusTrade strategy testing with Robinhood native Agents and its separate external-agent MCP connection.
Explore →Use Claude Code to trade a tested strategy on Robinhood
Connect NexusTrade and Robinhood MCP in Claude Code, review the tested strategy, enable trade approvals and verify the external brokerage account before execution.
Explore →Stocks and ownership
Browse stock rankings
Browse published industry and related-company rankings, with report dates and fundamentals.
Explore →How to screen for AI infrastructure stocks
Translate “Find publicly listed companies that supply AI infrastructure.” into NexusTrade's explicit aiInfrastructure classification filter and inspect the matching companies.
Explore →How to screen for Alternative energy stocks
Translate “Find alternative energy companies in the stock screener.” into NexusTrade's explicit renewableEnergy classification filter and inspect the matching companies.
Explore →How to screen for Biotechnology stocks
Translate “Find biotechnology companies and review their business descriptions.” into NexusTrade's explicit biotechnology classification filter and inspect the matching companies.
Explore →How to screen for Cloud computing stocks
Translate “Find cloud computing companies and inspect their financial profiles.” into NexusTrade's explicit cloudComputing classification filter and inspect the matching companies.
Explore →How to screen for Cybersecurity stocks
Translate “Find cybersecurity companies in the supported stock universe.” into NexusTrade's explicit cybersecurity classification filter and inspect the matching companies.
Explore →How to screen for Data center stocks
Translate “Find data center companies and inspect the supported public universe.” into NexusTrade's explicit dataCenter classification filter and inspect the matching companies.
Explore →How to screen for Financial services stocks
Translate “Find financial services companies and compare their business models.” into NexusTrade's explicit financialServices classification filter and inspect the matching companies.
Explore →How to screen for Healthcare stocks
Translate “Find healthcare companies and inspect their fundamentals.” into NexusTrade's explicit healthcare classification filter and inspect the matching companies.
Explore →How to screen for Robotics stocks
Translate “Find companies with robotics products or revenue exposure.” into NexusTrade's explicit robotics classification filter and inspect the matching companies.
Explore →How to screen for Semiconductor stocks
Translate “Find semiconductor companies and compare their fundamentals.” into NexusTrade's explicit semiconductor classification filter and inspect the matching companies.
Explore →Calculators
Backtest cost sensitivity calculator
Estimate commissions, full-spread crossings and additional slippage for completed round trips, separately from the trading engine.
Explore →CAGR calculator
Calculate compound annual growth from starting value, ending value and elapsed years, and understand how deposits and withdrawals affect the calculation.
Explore →Drawdown recovery calculator
Calculate the gain required to recover from a percentage drawdown, including why a 50% loss needs a 100% gain.
Explore →Portfolio subscription revenue calculator
Calculate monthly gross subscription revenue from a chosen price and subscriber count. Compare price scenarios without treating them as earnings forecasts.
Explore →Position size calculator
Calculate whole-unit long-position sizing from available capital, risk percentage and the entry-to-stop distance.
Explore →Strategies and automation
Apple (AAPL) Martingale Strategy
Always hold a little Apple, and continuously double down on Apple (AAPL) until you make a profit
Explore →Artificial Intelligence Revolution!
Buy stocks that are investing heavily in AI technology
Explore →Build and test a bull call spread
Define the two call legs, inspect the debit and width, and test a vertical options spread in NexusTrade.
Explore →Build and test a long call
Select an underlying, expiry and strike, then test a purchased call with a declared premium budget.
Explore →Diverse Tech-Focused Portfolio
Hold a diverse set of tech stocks and ETFs, including the most popular cryptocurrencies
Explore →Diversified Long-Term Strategy
Buy a diverse set of stocks and ETFs and hold them long-term
Explore →Ethereum and Bitcoin Split
Hold the 2 most popular cryptocurrencies, Ethereum and Bitcoin, in a 60/40 split
Explore →Fundamentally strong Artificial Intelligence (AI) companies
Hold a list of companies with an increasing profit margin from 2023 to 2024, over $5 billion in revenue in Q3 2023, a profit margin of 60% or more, and are AI/Semiconductor stocks
Explore →Google (GOOG) Moving Average Crossover
Try to sell Google when the stock is relatively high and buy when it is relatively low
Explore →Let the Cash Flow!
Hold a list of companies that had the highest increase in cash flow from 2016-2020
Explore →Magnificent Seven equal-weight rebalance
Invest equally in the 'Magnificent Seven' tech leaders, rebalancing every 14 days to maintain equal weights. These companies are at the forefront of AI, cloud computing, and digital transformation.
Explore →Modified Bitcoin Grid Trading Dollar Cost Average Strategy
Buy Bitcoin and double down when positions are down. Sell a small portion when positions are up.
Explore →Modified TQQQ Grid Trading Dollar Cost Average Strategy
Buy TQQQ and double down when positions are down. Sell a small portion when positions are up.
Explore →New-School MAANG Buy and Hold
FAANG: Buy the most popular tech stocks and hold them using 20% of your buying power
Explore →Old-School FAANG Buy and Hold
FAANG (with Netflix): Buy the most original FAANG tech stocks and hold them using 20% of your buying power
Explore →Receive watchlist membership-change alerts
Get alerts when watchlist members change, and choose how often Aurora sends a research brief.
Explore →Research a stock with filing sources
Use Aurora to connect stock fundamentals, disclosures and an explicit research question without mixing historical and current evidence.
Explore →Schedule a weekly watchlist research review
Ask Aurora to review your watchlist each week with a saved research prompt.
Explore →Schedule weekly Aurora watchlist briefs
Keep membership-change notifications while receiving a slower recurring research brief.
Explore →Strong Tech Believer
Invest the vast majority of your buying power in tech ETFs
Explore →The "Neckbeard Index 2.0"
An experimental update to the Neckbeard Index, with a few changes
Explore →The "Neckbeard Index"
Hold a list of companies that are popular amongst Reddit neckbeards
Explore →the "White Girl Index"
Hold a list of companies that sell products that are popular amongst adult American women
Explore →Time the Tech Top – Short Strategy
Short the tech market with SQQQ and double down until you make a profit
Explore →Ultra Bullish Tech Momentum with TQQQ
Buy TQQQ when the stock is relatively high and sell when it is relatively low
Explore →Watch a manager’s disclosed equity holdings
Maintain a watchlist from an exact institutional manager’s latest complete, publicly available equity book.
Explore →Watch publicly disclosed insider purchases
Track qualifying positive insider purchases by first public availability with explicit role and window scope.
Explore →Learn and develop
Absolute Value indicator
The absolute value of an indicator.
Explore →Accumulation/Distribution Line (ADL) indicator
Running total of close-location value times volume. Unlike OBV it weights where in the range the bar closed, so weak closes on high volume distribute.
Explore →ADX (Average Directional Index) indicator
Wilder's ADX: trend strength on 0-100, with optional +DI and -DI trend-direction lines. ADX above ~25 is conventionally a strong trend.
Explore →Algorithmic Trading Explained | Algorithmic Trading Fundamentals
What Every Retail Investor Should Know
Explore →Append dataset rows and restore a version
Maintain a dataset with explicit append, replace, restore and indicator-cascade behavior.
Explore →Ask Aurora a Question | AI Agents from Scratch
See a real tool call happen in Aurora
Explore →Asset Price indicator
The current market price of any asset.
Explore →Average True Range (ATR) indicator
The average of True Range over a window. A smoothed measure of volatility used for position sizing and stop-losses.
Explore →Backtest a portfolio in Python
Build a typed portfolio, submit one historical backtest, and read the completed result using the NexusTrade Python SDK.
Explore →Backtest a portfolio in TypeScript
Author a typed NexusTrade portfolio in Node, submit a backtest, and await the historical result.
Explore →Bearish Fair Value Gap indicator
Detects a bearish fair value gap (3-candle gap down) on minute bars. Returns the gap's resistance price (candle1 low) while the pattern is active; otherwise no value (condition fails). Not a 0/1 flag
Explore →Bollinger Bands indicator
SMA with upper and lower bands at a specified number of standard deviations.
Explore →Bullish Fair Value Gap indicator
Detects a bullish fair value gap (3-candle gap up) on minute bars. Returns the gap's support price (candle1 high) while the pattern is active; otherwise no value (condition fails). Not a 0/1 flag — ne
Explore →Buying Power indicator
The amount of cash available to make new purchases.
Explore →Chaikin Money Flow (CMF) indicator
Money flow volume over money volume across N bars, bounded in −1 to +1. Sustained readings above +0.2 show institutional accumulation.
Explore →ChatGPT Is Not an Agent | AI Agents from Scratch
Language models vs. chatbots vs. agents
Explore →Commodity Channel Index (CCI) indicator
Deviation of the typical price from its moving average, scaled by mean deviation. Readings above +100 are overbought, below −100 oversold.
Explore →Compound Annual Growth Rate (CAGR) indicator
The annualized growth rate of a fundamental metric over a specified number of years. Smooths out quarterly volatility to show the long-term trend.
Explore →Congressional Purchase Share indicator
A member's publicly known equity or option purchase dollars divided by the sum of both, across all disclosed tickers. Event versions enter only when public. Unclassified instruments are excluded. purc
Explore →Congressional Trades indicator
Trades by members of Congress in the asset, from the unified House and Senate disclosure lake, over a trailing window. A trade counts from the moment its report became public, never its trade date, an
Explore →Consecutive Decrease indicator
Number of consecutive completed calendar periods (America/New_York; period is Year, Quarter or Month), ending with the last completed period, whose closing value of the inner indicator was strictly hi
Explore →Consecutive Increase indicator
Number of consecutive completed calendar periods (America/New_York; period is Year, Quarter or Month), ending with the last completed period, whose closing value of the inner indicator was strictly hi
Explore →Consecutive True indicator
Returns 1 if a condition has been true for N consecutive periods in a row, 0 otherwise.
Explore →Constant (Number) indicator
A fixed numeric value. Useful as one side of a comparison.
Explore →Correlation indicator
Rolling Pearson correlation (-1 to 1) of two indicators' period-over-period returns over N paired observations. Flat or degenerate windows read no-signal instead of a fabricated number.
Explore →Count True indicator
Counts how many times a condition was true over a window.
Explore →Create Your First Indicators | Algorithmic Trading Fundamentals
Create SMA & RSI Indicators
Explore →Cross Above indicator
Returns 1 on the bar where the first indicator crosses above the second (was below, now above), 0 otherwise.
Explore →Cross Below indicator
Returns 1 when the first indicator crosses below the second indicator.
Explore →Current Time (Hours) indicator
The current hour in Eastern Standard Time (0–23).
Explore →Current Time (Minutes) indicator
The current minutes since midnight in Eastern Standard Time.
Explore →Current Time (Seconds) indicator
The current seconds since midnight in Eastern Standard Time.
Explore →Custom Data Source indicator
Account-owned timestamp/value data uploaded through CSV or JSON ingestion.
Explore →Date indicator
The current date as a numeric value. Useful for scheduling strategies around specific dates.
Explore →Day indicator
The current day of the month (1–31).
Explore →Days Since Agent indicator
The number of days since an AI agent was launched by this strategy. Useful for rate-limiting agent launches.
Explore →Days Since Alert indicator
The number of days since an alert was triggered. Useful for rate-limiting alerts.
Explore →Days Since Earnings indicator
Calendar days since the asset's most recent earnings report. In backtests and live, this is the last actually-reported quarter at-or-before the decision time (no look-ahead). Use to time post-earnings
Explore →Days Since Last RebalanceOption Order indicator
The number of days since the portfolio last emitted an order from any RebalanceOption strategy. Ignores strategy ID so multiple RebalanceOption strategies can share one cooldown.
Explore →Days Since Option Order indicator
The number of days since the most recent option order matching the specified filters. Supports filtering by underlying, option type (call/put), spread type, direction (debit/credit), position effect (
Explore →Days Since Order indicator
The number of days since the most recent order matching the specified filters.
Explore →Days Since Strategy Fired indicator
The number of days since the current strategy last produced an execution artifact. Counts same-strategy order rows, rebalance orders, and launched agents.
Explore →Days Until Earnings indicator
Calendar days until the asset's next expected earnings report. In backtests the next date is a point-in-time cadence estimate from the last report (no look-ahead); live trading uses the real next sche
Explore →Divide (÷) indicator
Quotient of indicators.
Explore →Donchian Channel indicator
Highest high and lowest low over N bars with a midline. Breaks of either edge are breakout entries; the midline is the first pullback level.
Explore →Economic Indicator indicator
Macroeconomic data not tied to a specific asset.
Explore →EMA of Indicator indicator
Computes the Exponential Moving Average of any other indicator.
Explore →Exercise: Build a System Prompt | AI Agents from Scratch
Compose a real system prompt and run it against Gemini 3 Flash.
Explore →Exercise: Walk Through the Classifier | AI Agents from Scratch
See how NexusTrade routes your message to the right specialized prompt.
Explore →Exponential Moving Average (EMA) indicator
Like SMA but gives more weight to recent prices, making it more responsive to new information.
Explore →Exponentiation indicator
Raises an indicator to a specified power.
Explore →Fundamental Metric indicator
A financial metric from a company's statements or derived valuation ratios.
Explore →Gap Percentage indicator
The gap size expressed as a percentage of the previous close.
Explore →Gap Size indicator
The dollar difference between today's opening price and yesterday's closing price.
Explore →Heikin-Ashi (1 minute) indicator
Heikin-Ashi candles built from COMPLETED one-minute bars in the regular session (9:30-15:59 bar opens; pre-market and after-hours bars are skipped), identically in backtests and live trading. The firs
Explore →High of Day indicator
The highest price reached during the current trading session.
Explore →Ichimoku Cloud indicator
Five-line trend system: Tenkan and Kijun midpoints, Senkou A/B cloud bands, and the Chikou lagging line. Lines are evaluated unshifted. Price above the cloud with Tenkan above Kijun is the full bullis
Explore →Implied Volatility indicator
Constant-maturity at-the-money implied volatility for the underlying, built from the options chain (near-target-DTE expirations, |delta|≈0.50 call/put average, linearly interpolated). Units are annual
Explore →Index level indicator
Daily level for a market index or benchmark (e.g. VIX, SPX) from hydrated index price data — not a tradable equity price.
Explore →Indicator At Entry indicator
The value any indicator held at the most recent matching fill. The level is frozen at entry instead of rolling forward, so a stop written against it is a real stop rather than a trailing one.
Explore →Indicator at Minutes After Open indicator
Captures the value of any indicator at a specific number of minutes after market open. The value is frozen for the rest of the day.
Explore →Indicator Window Ago indicator
The value of any indicator N periods ago.
Explore →Initial Value indicator
The starting value of the portfolio when it was created or when the backtest began.
Explore →Insider Trades indicator
Disclosed purchases (code P, including open-market or private transactions), sales (code S), and a separate exact-owner AwardCount for code A issuer grants or other acquisitions over a trailing public
Explore →Institutional Holdings indicator
Institutional positions in the asset disclosed on SEC Form 13F. Naming a manager follows one institution; leaving it empty reads every manager holding the asset. Level metrics read the latest quarter
Explore →Is Asset indicator
Returns 1 if the asset matches a specific symbol. Useful for including specific assets in multi-asset strategies.
Explore →Is Asset Type indicator
Returns 1 if the asset matches a specified type (stock, ETF, etc.), 0 otherwise.
Explore →Is Index Member indicator
Returns 1 if the asset is a member of a specified index, 0 otherwise.
Explore →Is Industry indicator
Returns 1 if the asset belongs to a specified industry, 0 otherwise. Over 100 categories supported including Artificial Intelligence, Semiconductor, Electric Vehicles, Space Exploration, Healthcare, B
Explore →Is Not Asset indicator
Returns 1 if the asset does NOT match a specific symbol. Useful for excluding specific assets.
Explore →IV Percentile indicator
Percent of sessions in the lookback window whose constant-maturity ATM IV was strictly below today's (0–100). Distinct from IV Rank.
Explore →IV Rank indicator
Where today's constant-maturity ATM IV sits between the lookback window's high and low: (IV − IV_low) / (IV_high − IV_low) × 100. Distinct from IV Percentile.
Explore →IV/HV Ratio indicator
Constant-maturity ATM implied volatility divided by annualized close-to-close realized volatility (HV) over hvWindow trading days. Values > 1 mean options are pricing more vol than recently realized.
Explore →Keltner Channel indicator
EMA midline with ATR bands above and below. Tighter than Bollinger in calm tape, so closes outside the bands mean stronger conviction moves.
Explore →lake.backtest_comparisons dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_comparisons dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.backtest_indicators dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_indicators dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.backtest_proprietary_results dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_proprietary_results dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.backtest_runs dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_runs dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.backtest_strategies dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_strategies dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.backtest_tickers dataset schema
Column types and research semantics for NexusTrade’s lake.backtest_tickers dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.canonical_annual_financials dataset schema
Column types and research semantics for NexusTrade’s lake.canonical_annual_financials dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.canonical_quarterly_financials dataset schema
Column types and research semantics for NexusTrade’s lake.canonical_quarterly_financials dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.crypto_daily dataset schema
Column types and research semantics for NexusTrade’s lake.crypto_daily dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.daily_ohlc dataset schema
Column types and research semantics for NexusTrade’s lake.daily_ohlc dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.dividends dataset schema
Column types and research semantics for NexusTrade’s lake.dividends dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.economic dataset schema
Column types and research semantics for NexusTrade’s lake.economic dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.index_constituents dataset schema
Column types and research semantics for NexusTrade’s lake.index_constituents dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.index_prices dataset schema
Column types and research semantics for NexusTrade’s lake.index_prices dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.insider_filings dataset schema
Column types and research semantics for NexusTrade’s lake.insider_filings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.insider_owner_events dataset schema
Column types and research semantics for NexusTrade’s lake.insider_owner_events dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.insider_transactions dataset schema
Column types and research semantics for NexusTrade’s lake.insider_transactions dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.institutional_filings dataset schema
Column types and research semantics for NexusTrade’s lake.institutional_filings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.institutional_holdings dataset schema
Column types and research semantics for NexusTrade’s lake.institutional_holdings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.international_stock dataset schema
Column types and research semantics for NexusTrade’s lake.international_stock dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.intraday_crypto dataset schema
Column types and research semantics for NexusTrade’s lake.intraday_crypto dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.intraday_options dataset schema
Column types and research semantics for NexusTrade’s lake.intraday_options dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.intraday_options_quotes dataset schema
Column types and research semantics for NexusTrade’s lake.intraday_options_quotes dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.intraday_options_v2 dataset schema
Column types and research semantics for NexusTrade’s lake.intraday_options_v2 dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.intraday_stock dataset schema
Column types and research semantics for NexusTrade’s lake.intraday_stock dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.options_daily dataset schema
Column types and research semantics for NexusTrade’s lake.options_daily dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.political_filings dataset schema
Column types and research semantics for NexusTrade’s lake.political_filings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.political_trade_events dataset schema
Column types and research semantics for NexusTrade’s lake.political_trade_events dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.political_trades dataset schema
Column types and research semantics for NexusTrade’s lake.political_trades dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.quarterly_earnings dataset schema
Column types and research semantics for NexusTrade’s lake.quarterly_earnings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.reports dataset schema
Column types and research semantics for NexusTrade’s lake.reports dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.sec_annual_financials dataset schema
Column types and research semantics for NexusTrade’s lake.sec_annual_financials dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.sec_daily_ohlc dataset schema
Column types and research semantics for NexusTrade’s lake.sec_daily_ohlc dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.sec_facts dataset schema
Column types and research semantics for NexusTrade’s lake.sec_facts dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.sec_quarterly_earnings dataset schema
Column types and research semantics for NexusTrade’s lake.sec_quarterly_earnings dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.sec_quarterly_financials dataset schema
Column types and research semantics for NexusTrade’s lake.sec_quarterly_financials dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.security_segments dataset schema
Column types and research semantics for NexusTrade’s lake.security_segments dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.stock_industries dataset schema
Column types and research semantics for NexusTrade’s lake.stock_industries dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.stock_industry_classifications dataset schema
Column types and research semantics for NexusTrade’s lake.stock_industry_classifications dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.stock_market_cap dataset schema
Column types and research semantics for NexusTrade’s lake.stock_market_cap dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.stock_splits dataset schema
Column types and research semantics for NexusTrade’s lake.stock_splits dataset. Read the supported schema before submitting a bounded SQL query.
Explore →lake.stockindustries dataset schema
Column types and research semantics for NexusTrade’s lake.stockindustries dataset. Read the supported schema before submitting a bounded SQL query.
Explore →Last Dividend indicator
The most recent regular cash dividend per share whose ex-dividend date is on or before the evaluation date (America/New_York), split-adjusted onto today's share basis, special dividends excluded. Retu
Explore →Last Order Price indicator
The execution price of the most recent order matching the specified filters.
Explore →Learn AI agents
A practical, ground-up introduction to AI agents. Understand the ReAct loop, tools, orchestration, memory, and evaluation, then build real agents using Aurora Trading Agent platform as your lab.
Explore →Learn algorithmic trading
Learn algorithmic trading by doing. Create SMA and RSI indicators with Aurora, define trading conditions, build a first buy strategy, run portfolio backtests, and learn how paper deployment works.
Explore →Logarithm indicator
Logarithm of an indicator with a specified base.
Explore →Low of Day indicator
The lowest price reached during the current trading session.
Explore →MACD indicator
MACD line (fast EMA minus slow EMA), its signal EMA, or the histogram (MACD minus signal). Classic trend/momentum indicator.
Explore →Max Drawdown indicator
The maximum peak-to-trough percentage decline over a window. Measures worst-case downside risk.
Explore →Max Drawup indicator
The maximum trough-to-peak percentage increase over a window.
Explore →Max indicator
The maximum value of two or more indicators.
Explore →Maximum Price indicator
The highest closing price over a window.
Explore →Mean Absolute Deviation of Indicator indicator
Computes the MAD of any indicator over a window. Less sensitive to outliers than standard deviation.
Explore →Min indicator
The minimum value of two or more indicators.
Explore →Minimum Price indicator
The lowest closing price over a window.
Explore →Minus (−) indicator
Difference between indicators.
Explore →Minute Bar High indicator
The high of the most recently COMPLETED one-minute bar. The bar that opens at 9:30 is readable from 9:31, identically in backtests and live trading; the forming bar is never used. Not the day's high (
Explore →Minute Bar Low indicator
The low of the most recently COMPLETED one-minute bar. The bar that opens at 9:30 is readable from 9:31, identically in backtests and live trading; the forming bar is never used. Not the day's low (us
Explore →Minutes After Open indicator
The number of minutes elapsed since market open (9:30 AM ET).
Explore →Minutes Since Agent indicator
The number of minutes since an AI agent was launched by this strategy. Useful for fine-grained rate-limiting of agent launches within a single day.
Explore →Minutes Since Alert indicator
The number of minutes since an alert was triggered. Useful for fine-grained rate-limiting of alerts within a single day.
Explore →Minutes Since Option Order indicator
The number of minutes since the most recent option order matching the specified filters. Same filters as Days Since Option Order but measured in minutes for intraday strategies.
Explore →Minutes Since Order indicator
Same as Days Since Order but measured in minutes. Useful for intraday strategies.
Explore →Minutes Until Close indicator
The number of minutes remaining until market close (4:00 PM ET).
Explore →Money Flow Index (MFI) indicator
Volume-weighted RSI: money flow direction over N bars on a 0-100 scale. Above 80 is overbought, below 20 oversold. Requires volume data.
Explore →Month indicator
The current month (1–12).
Explore →Multiply (×) indicator
Product of indicators.
Explore →Negative indicator
Negates an indicator's value.
Explore →New Insider Disclosure indicator
True when a newly public Form 4 version matches the selected owner, issuer, role, instrument and action and awaits a strategy decision. Exact-owner corrections count as new versions. A company CIK wit
Explore →New Institutional Filing indicator
True when an exact manager CIK has a newly public 13F filing or amendment this strategy has not handled. Each accession creates one decision; later price ticks do not repeat it. The current Institutio
Explore →New Political Disclosure indicator
True when a selected member has a newly public equity or option trade disclosure that this strategy has not handled. Corrections count when they become public. A handled disclosure does not fire again
Explore →New Trading Week indicator
True on the first evaluated trading tick of an ISO week until the strategy makes a decision. A no-order decision still consumes that week, and live portfolios persist the decision through a restart. U
Explore →On-Balance Volume (OBV) indicator
Running total of signed volume: adds the bar's volume on up closes, subtracts on down closes. Rising OBV with flat price is accumulation.
Explore →Opening Price indicator
The price of an asset at market open.
Explore →Option Collateral indicator
Returns the total collateral locked across option spreads matching the filter.
Explore →Option Days Held indicator
Returns the minimum or maximum days since entry across option spreads matching the filter.
Explore →Option Days to Expiration indicator
Returns the minimum or maximum days to expiration across option spreads matching the filter.
Explore →Option Gross Exposure % indicator
Sum of absolute option leg marks divided by portfolio value (percent). Matches gross deployment audits. Unfiltered portfolio-wide only.
Explore →Option Position Count indicator
Returns the number of open option contract positions/legs matching the filter criteria. Portfolio-wide (no underlying, option type, direction, or spread filters): open legs plus legs reserved by earli
Explore →Option Position Max Drawdown indicator
Peak-to-current drawdown of the aggregated P&L percentage across option spreads matching the filter. Stateful sibling of Option Position P&L%: while P&L% returns the current value, this indicator trac
Explore →Option Position P&L% indicator
Returns the weighted average P&L percentage across option spreads matching the filter.
Explore →Option Position Value indicator
Returns the total market value of option spreads matching the filter criteria.
Explore →Option Realized P&L indicator
Returns the net realized P&L in dollars from CLOSED option positions matching the filter, long and short alike. Losing closes count as negative. Measures closes only and subtracts nothing for premium
Explore →Option Realized Premium indicator
Returns realized option premium still available to spend: net realized P&L from closed short option positions, minus premium already spent by opens sized with Percent of Realized Premium. Proceeds fro
Explore →Option Spread Count indicator
Returns the number of open multi-leg option spreads matching the filter criteria. Does not count standalone single-leg option positions.
Explore →Option Spread Entry Price indicator
Returns the net price per share paid or collected to open the option spreads matching the filter: positive for a net debit, negative for a net credit. Several matching spreads average by contracts. Ha
Explore →Option Unrealized P&L indicator
Returns the total unrealized P&L in dollars across option spreads matching the filter.
Explore →Optional: Fidelity Technical Guide | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Optional: Fidelity Technical Guide.
Explore →Parabolic SAR indicator
Trailing stop-and-reverse level that accelerates toward price as the trend extends. Price crossing the SAR flips the trend.
Explore →Plus (+) indicator
Sum of two or more indicators.
Explore →Portfolio Value indicator
The total current value of your portfolio (cash + all positions).
Explore →Position Max Drawdown indicator
The maximum percentage decline in the position's unrealized P&L from its peak. Aggregates the stock holding plus all option spreads on that underlying. Returns 0 at a new high water mark; rises as P&L
Explore →Position Max Drawup indicator
The maximum percentage increase from trough price since you entered the position.
Explore →Position Percent Change indicator
How much your position has gained or lost as a percentage since you opened it.
Explore →Position Value indicator
The current dollar value of your position in one or more assets.
Explore →Pre-Assessment: What Do You Know? | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Pre-Assessment: What Do You Know?.
Explore →Pre-Course Reflection | AI Agents from Scratch
Where are you with AI today?
Explore →Previous Closing Price indicator
The closing price from the previous trading session.
Explore →Price Change Since Open indicator
The dollar change in price since market open.
Explore →Price Mean Absolute Deviation indicator
The mean absolute deviation of an asset's price over a window. Similar to standard deviation but less sensitive to outliers.
Explore →Price Standard Deviation indicator
The standard deviation of an asset's closing price over a window. Measures price volatility.
Explore →Prompt Engineering | AI Agents from Scratch
What it is, what a system prompt is made of, and why zero-shot isn't enough
Explore →Prompt Engineering Trade-offs | AI Agents from Scratch
The three levers every prompt trades: cost, latency, and accuracy
Explore →Prospective Rebalance Decision Metric indicator
Exposes the allocation plan that a DynamicRebalance or RebalanceOption action is about to execute, so the strategy condition can decide whether that plan is worthwhile.
Explore →Query market data in Python
Run bounded read-only market-data SQL and stream durable results with the NexusTrade lake extra.
Explore →Query market data in TypeScript
Submit bounded lake SQL and retrieve the durable schema and result manifest using the TypeScript SDK.
Explore →Quiz: Alternative Data Sources | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Quiz: Alternative Data Sources.
Explore →Quiz: Fundamental Indicators | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Quiz: Fundamental Indicators.
Explore →Quiz: Technical Indicators | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Quiz: Technical Indicators.
Explore →Quiz: What Is an AI Agent? | AI Agents from Scratch
Free lesson from AI Agents from Scratch: Quiz: What Is an AI Agent?.
Explore →Rate of Change (ROC) indicator
Measures the percentage change in price between the current price and the price N periods ago.
Explore →Rate of Change of Indicator indicator
The percentage change of any indicator over a window.
Explore →Reading: Financial Statements | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Reading: Financial Statements.
Explore →Reading: Technical Indicators | Algorithmic Trading Fundamentals
Free lesson from Algorithmic Trading Fundamentals: Reading: Technical Indicators.
Explore →Relative Strength Index (RSI) indicator
Measures the speed and magnitude of recent price changes. Oscillates between 0 and 100.
Explore →Relative Volume (RVOL) indicator
Current bar volume divided by the average volume of the trailing N completed bars. 1.0 means the bar is trading exactly its recent pace.
Explore →Simple Moving Average (SMA) indicator
The average closing price over a specified number of periods.
Explore →SMA of Indicator indicator
Computes the Simple Moving Average of any other indicator over a window.
Explore →Square Root indicator
Square root of an indicator.
Explore →Standard Deviation of Indicator indicator
Computes the standard deviation of any indicator over a window.
Explore →Stochastic Oscillator indicator
Momentum oscillator comparing the close to the high-low range over N bars, with %K smoothing and a %D signal average. Readings above 80 are overbought, below 20 oversold.
Explore →Stock Report (Fundamental Strength Score) indicator
An AI-generated score from 1 to 5 that rates a company's overall fundamental strength. Synthesizes revenue growth, profitability, balance sheet health, valuation, and competitive positioning.
Explore →Sum Order Amount indicator
The total dollar amount across all matching orders within a window.
Explore →Sum Order Quantity indicator
The total number of shares across all matching orders within a window.
Explore →Supertrend indicator
ATR trailing band that ratchets with the trend and flips sides on a close through it. The direction line reads +1 in an uptrend, −1 in a downtrend.
Explore →Tools: How AI Actually Does Things | AI Agents from Scratch
Function calling, APIs, and the structured-output trick
Explore →Trailing Sum indicator
The sum of an indicator's values over the last N periods.
Explore →True Range indicator
The greatest of: current high minus low, |high − previous close|, or |low − previous close|. Measures single-period volatility.
Explore →Turn a dataset into a custom indicator
Save signal rows with the time each value became available, then use that dataset as a custom indicator.
Explore →Underlying Max Drawdown indicator
The maximum percentage decline of the asset's market PRICE from its peak since the indicator started observing. Tracks the underlying stock — does NOT consult position state. Useful as an emergency ex
Explore →Volume indicator
Trading volume for the asset. Alias for the Fundamental indicator with the Volume metric — same pipeline and data sources.
Explore →VWAP (Volume-Weighted Average Price) indicator
The average price weighted by volume throughout the trading session. A key intraday benchmark.
Explore →What Are Alternative Data Sources? | Algorithmic Trading Fundamentals
Economic Indicators, Sentiment Data & More
Explore →What Are Fundamental Indicators? | Algorithmic Trading Fundamentals
Understanding a Company's Financial Health
Explore →What Are MCP Servers? | AI Agents from Scratch
Tools go by many names
Explore →What Are Technical Analysis Indicators? | Algorithmic Trading Fundamentals
Mean reversion vs momentum
Explore →What is a Trading Indicator? | Algorithmic Trading Fundamentals
The Building Blocks of Algorithmic Trading
Explore →Who This Course Is For | AI Agents from Scratch
What you'll learn, and why it matters
Explore →Williams %R indicator
Momentum oscillator placing the close within the high-low range over N bars, on a −100 to 0 scale. Above −20 is overbought, below −80 oversold.
Explore →Year indicator
The current year.
Explore →Research
Monitor public ownership disclosures
Build disclosure watchlists and source-backed reviews with explicit publication dates and holdings limitations.
Explore →Reproducible market-data research
Connect bounded lake queries, source provenance and versioned strategy configurations in a repeatable research workflow.
Explore →