SignalFlow AI

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Introduction - Real Simple AI.

by Alex King, CEO, Cestrian Capital Research, Inc

We are delighted to host SignalFlow AI, a very simple trade signal service developed by Jay Urbain, Ph.D. Jay has been running Jay’s Options on our platform for some time now - it’s a much-loved options trading service.

The basis of SignalFlow AI is very simple. What if you could use a machine to take the fear and emotion out of investing and trading? A machine that is tasked with pursuing upside, but which is unemotional about stepping aside when markets turn south? This is a task which human investors and traders should be able to do, but usually don't, because emotion - greed and/or fear - takes control of their trade execution, often in a manner at odds with perfectly sensible analysis that they just prepared.

SignalFlow AI uses machine learning and extensive backtesting to identify periods where the model believes capital should be deployed, and periods where the model believes capital should be on the sidelines. The model can be run on any major liquid security. Right now we offer just two ticker signals - the service will flag “risk on” and “risk off” signals on $SPY and/or $QQQ, depending on your choice of signals. Yes, the S&P500 ETF, $SPY, and the Nasdaq-100 ETF, $QQQ. Boring? Well, that's rather the point. If as a human one was capable of just moving to cash and doing nothing every time the S&P and/or the Nasdaq took a material nosedive, then simply buying and selling the S&P and/or the Nasdaq would be a wonderful investment strategy.

With the obvious rider that future results may be different to the past, here's the 10 year backtested result of using a strategy based on the SignalFlow AI model to decide when to buy, when to hold, and when to sell $SPY, vs. simple buy-and-hold.

And here's the same for the $QQQ.

If you look at the charts you can see the outputs of the model very clearly. When the market weakens, sell and move to cash. When the market strengthens, redeploy that cash. Rinse and repeat.

Below, Jay walks you through more detail about where the service will go in the future, and he talks about other instruments. You can imagine that you can use the signal outputs in various settings - either follow the signals to the letter, or, if you prefer, when the signals say get out of the market, hedge, then release the hedge when it says get back in. Each to their own, according to risk appetite, emotional setup, tax status and so forth.

Choose Your Service Tier And Your Tickers

We offer this service with two pricing tiers and, at present, two tickers ($SPY and/or $QQQ).

Investment Professionals

If you’re an investment professional - as defined in our terms and conditions, here, then choose “SignalFlowAI Pro Edition”. You’ll pay $2499/yr or $299/mo per ticker. You can choose SPY (the S&P500 ETF) and/or QQQ (the Invesco Nasdaq-100 ETF).

Note that this is a single-user subscription. If you require multi-user subscriptions please contact us at minerva@cestriancapital.com to discuss discounted multi-user pricing.

Independent Investors

If you’re not an investment professional under our terms and conditions, choose “SignalFlow AI - Independent Investor”. This single-user subscription is for use only by independent investors - it is not available to investment professionals per our terms and conditions. Independent investors pay just $1199/yr or $149/mo. As for professionals, your second signal service comes with a 50% discount. Choose your first signal service here, then ask us in chat for your half-off coupon if you decide to add a second.

Deep Dive

I want to turn this over to Jay himself now. Here's his most recent presentation on the SignalFlow AI service.

A Constantly Evolving, Growing Service

As with all our pay services, SignalFlow AI will expand in breadth and depth as time goes by. It will cover more tickers and different strategies. Join now to lock in your pricing - prices for the service will continue to rise for new joiners as the service evolves over time.

Cestrian Capital Research, Inc - 2 December 2024