Benjamin Graham NCAV/MV Strategy
A Graham-inspired net current asset value strategy for selecting balance-sheet-strong S&P 500 stocks.
The Ultimate Guide to Agentic Trading
Agentic trading is the use of AI agents to turn a trading objective into an observable operating system: watch the market, check the portfolio, apply…
10 Agentic Trading Use Cases Every Trader Should Know
Agentic trading use cases are the practical trading workflows where AI agents can monitor conditions, apply rules, and take bounded action without…
10 Things to Look for in an Agentic Trading Platform
Choosing an agentic trading platform is less about flashy AI demos and more about control: can the platform turn a trading mandate into monitored…
Scalar Field vs Composer: AI Trading Agent or No-Code Strategy Platform?
Scalar Field vs Composer comes down to the type of automation you want. Composer is best understood as a no-code strategy platform for building…
Why Agentic Trading Could Be the Next Big Shift in Markets
Agentic trading could become the next major shift in markets because it changes the unit of automation. Instead of automating isolated orders or…
Best TradingView Alternatives for AI Strategy Building
The best TradingView alternatives for AI strategy building depend on what you want beyond charts: natural-language strategy creation, agentic…
AI Portfolio Agent vs Robo Advisor: What’s the Difference?
An AI portfolio agent and a robo advisor both automate parts of investing, but they are built for different jobs. A robo advisor usually manages a…
User-Directed Execution vs Fully Automated Trading: Which Model Is Safer?
User-directed execution means the trader keeps final control over trade approval, while fully automated trading lets a system place orders once…
Backtesting vs Paper Trading vs Live Agent Execution
Backtesting vs paper trading is the difference between testing a strategy on historical data and testing its behavior in a simulated live…
7 Reasons AI Trading Agents vs Trading Bots Is the Wrong Comparison
AI trading agents vs trading bots is usually framed as “new AI tool versus old automation.” That misses the real difference. A trading bot executes…
5 Trading Workflows AI Agents Can Automate
The most useful trading workflows AI agents can automate are not vague “find me trades” prompts. They are repeatable processes where an AI trading…
11 Market Ideas AI Trading Agents Can Turn Into Strategies
The best market ideas AI trading agents can handle are not vague predictions. They are specific, testable concepts that can be converted into rules…
7 Agentic Trading Strategies You Can Build With AI Agents
Agentic trading strategies are trading systems built around mandates, not just signals. Instead of telling software to “buy when X happens,” the…
9 AI Trading Desk Features Modern Traders Need
If you are evaluating AI trading desk features, the core question is simple: can the platform turn a trading idea into a monitored, risk-controlled…
5 Ways to Use AI Strategy Backtesting Before You Trade
AI strategy backtesting helps traders test market ideas faster, catch flawed assumptions earlier, and turn vague hypotheses into rules that can be…
9 Options Strategies You Can Backtest With AI
If you want to options strategies backtest with AI, start with structures where rules, risk, and expiration behavior can be defined clearly. AI can…
7 AI Trading Agent Mistakes Traders Should Avoid
The biggest AI trading agent mistakes happen when traders automate a weak process instead of improving it. An AI trading agent can monitor markets…
Agentic Trading vs Algorithmic Trading: What Changes?
Agentic trading vs algorithmic trading comes down to the difference between executing predefined rules and delegating a monitored workflow to an AI…
AI Trading Agent vs AI Trading Bot: What’s the Difference?
AI trading agent vs AI trading bot is not just a naming debate. A trading bot usually follows predefined rules, while an AI trading agent can manage…
Benjamin Graham NCAV/MV Strategy
A Graham-inspired net current asset value strategy for selecting balance-sheet-strong S&P 500 stocks.
Fed Rate Cuts: The Pivot in Six Moves — V2
V2: a short visual read on how the Fed eased policy over the last five years.
Build an AI Trading Agent Without Writing Code
If you want to know how to build an AI trading agent without writing code, the process is straightforward: define the trading objective, translate it into…
Create Your Own AI Trading Agent
If you want to create AI trading agent systems, the right process is not “let AI trade my account.” It is to define a trading objective, translate it into…
Build an Agentic Trading Strategy From Scratch
An agentic trading strategy is a trading system that does more than trigger static buy and sell rules.
Turn a Market Thesis Into a Trading Agent
Turning a market thesis to trading agent workflow means converting an investment idea into measurable rules, risk limits, execution permissions, and monitoring…
Build a Trading Strategy Using Plain English
To build trading strategy using plain English, you need to describe your market idea in measurable terms: what to trade, when to enter, when to exit, how much…
Backtest a Trading Strategy With AI
To backtest trading strategy with AI, you need to define a clear hypothesis, convert it into measurable rules, test those rules on historical data, review…
Build an AI Options Trading Agent
To build AI options trading agent systems, you need more than a signal generator.
Backtest Options Strategies Beyond SPY and QQQ
To backtest options strategies beyond SPY and QQQ, you need more than a generic index-options backtester.
Build a Broker-Connected AI Trading Agent
A broker connected AI trading agent is an autonomous trading system that can monitor markets, apply strategy rules, enforce risk limits, and send orders…
Move From Backtest to Live Strategy With AI Agents
Moving from backtest to live strategy means converting historical research into a controlled execution workflow: verified rules, realistic assumptions, paper…
Riding the AI Bubble
Can an academic bubble-detection model tell us which part of the AI trade is overheating — and whether it is still worth owning?
How to Connect Robinhood on Scalar Field
Connecting Robinhood on Scalar Field takes about two minutes: install the Robinhood Bridge extension, authorize over OAuth, and your positions, buying power…
How to Connect Public.com on Scalar Field
Connecting Public.com on Scalar Field takes about a minute: accept the disclosures, authorize over OAuth, and your equities, ETF, and options positions…
How to Connect Alpaca on Scalar Field
Connecting Alpaca on Scalar Field takes about a minute: accept the disclosures and authorize over OAuth. Paper and live are separate connections that share…
How to Connect Polymarket on Scalar Field
Connecting Polymarket on Scalar Field means opening a self-custodied wallet rather than linking a broker: accept the disclosures, log in with email, then fund the wallet and move funds into your…
How to Connect Jupiter DEX on Scalar Field
Connecting Jupiter DEX on Scalar Field opens a self-custodied Solana wallet: accept the disclosures, log in with email, fund it with USDC, and your agents can trade tokenized stocks, pre-IPO tokens…
How to Connect Hyperliquid on Scalar Field
Connecting Hyperliquid on Scalar Field takes three steps after the wallet: fund Arbitrum, bridge at least $5 to Hyperliquid, and approve a trading key. Your money then lives in three places, and…