eBook & Community

eBook & Community

Download, Study, join the lab

To study trading and collaborate on developing the business, even if you’re starting from scratch. Download and read the eBooks to discover our trading, both directional and automated quantitative.

Trend Following since 2009Community since 2014Quant + AITrack record verifiable

The eBooks

Download them free. No cost, just method.

Educational material, direct and data-driven. Start wherever you prefer.

The Trader's Mind cover
Mini Guide · Free

The Trader’s Mind

50% technique, 50% psychology. The mental techniques, the two balance sheets and the discipline that set apart those who last in trading. ~15 minutes of reading.

Download the PDF

Innovating Trading with AI cover
Mini Guide · Free

Innovating Trading with AI

How I use artificial intelligence to innovate: research, StrategyQuant, the Power Tools and the Realistic Engine and Nature Law AI Quant engines. ~15 minutes of reading.

Download the PDF

Trend Following in 2026 cover
Book · Free

Trend Following in 2026

The complete book: directional and quantitative trading with AI. 95 pages, from the basics to the Cash-AR 2026 method through to StrategyQuant and Claude Code. Available in Italian and English.

More mini guides coming soon: Understanding Trends, The Cash-AR 2026 Method, From Trader to Money Manager.

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Scopri il Trend Following, per fare trading sulla realtà, senza complicazioni sia automatico che direzionale

Scarica le 3 Guide in PDF gratuite

Training Path

4 courses, a step-by-step path

From the fundamentals to building innovative strategies. Each completed course accumulates training credits that unlock new benefits in the community.

1
Startup
The basics of trading and the markets: how a trend works, reading bar charts, Dow Theory, the 4 phases, psychology and risk management.
Student Level
2
ADV1
The logic of 3 trading strategies, chosen to help you understand the fundamentals of the trading business.
+ Training credits
3
ADV2
The research and planning techniques typical of a large hedge fund, adapted for the private trader: you plan every detail beforehand, so the trading afterwards is simpler and less risky.
ADV2 Level
4
ADV2+
5 trading methods to create hundreds of new innovative strategies and, finally, the Cash-AR 2026 method: the best directional strategy Stefano has ever created.
ADV2+ Level → Community Trader

The more you advance, the more your level grows — Student → ADV2 → ADV2+ → Community Trader — and the more benefits you unlock. See the Base vs Premium comparison below.

The Community

Join the research lab

By activating your TFT Community membership you get access to all of this.

The purpose of the project

All the community’s fees and proceeds are collected to fund research activities and improve the project, with the goal of improving the trading of the whole team. This has always been the purpose of the project, ever since its birth in 2014.

The project is designed to work in a way similar to a hedge fund: users are trained and selected to become part of the working teams, where they carry out research and trading. The results — both research and production, derived from each member’s trading — go to the benefit of every member, not just the fund.

Included for all members
  • Training Course for those starting from scratch
  • Training credits to access more resources
  • Video lessons and tests
  • Study and practice to understand directional and automated trading
  • Proprietary TradingView indicators (overnight data analysis)
  • AI Power Tools, directional and quantitative
  • Private LIVE sessions 2-3 times a week to study and improve together
  • Automated Quantitative Strategy DB, ready to use, with reserved slots for each user (over 100 strategies developed on a 9-year data base with StrategyQuant X)
  • Strategies optimized with Realistic Engine AI — bookable slots reserved for a limited number of users
  • Complete Cash-AR 2026 method — the 5 operational signals with real-time setups
  • Analysis and backtest pages to study and validate the methods
  • Working team for quantitative trading with AI (Claude Code + StrategyQuant X)
  • Research and Production accounts with an AI analysis system
  • Algo Fund Ideas section to design synergies between strategies across multiple accounts
  • Knowledge base constantly updated
  • Trackable strategy results — successes and failures, total transparency
  • Direct support from Stefano and the team, active since 2014
Premium exclusive
  • Nature Law AI Quant — advanced optimization with the OWL · FALCON · WOLF modules
  • Nature Law AI strategy slots, bookable and dedicated, for a limited number of users
  • Realistic Engine AI editor — optimize the strategies yourself
  • Optimization credits — to optimize the strategies yourself with Realistic Engine AI
  • Details Panel with equity curve and comparison
  • The chance to become a community Publisher
  • One-to-One Coaching with Stefano Mastria
Realistic Engine AIBase & Premium

The engine that dynamically optimizes StrategyQuant strategies. It works on variables such as risk, monthly drawdown limit, break-even stop, profit targets and trailing stop, and recalculates the strategy, validating its data across all the market swings of the last 9 years.

Base: you use the optimizations that Stefano develops and publishes. Premium: you optimize the strategies yourself.

Nature Law AI QuantPremium only

The advanced system in which the AI optimizes StrategyQuant strategies by formulating complex algorithms, based on 3 risk-management modules that work before, immediately after and throughout the duration of the trade.

OWL
Pre-open · contextual filter

It assesses the state of the market over the last 24 hours (the previous day’s session + the preceding night) and blocks openings in contextually unfavorable setups — the combinations where the strategy has historically never produced big winners.

FALCON
Post early · time-based quick-exit

At the N-th hour from the trade’s opening, it evaluates whether the MFE reached is sufficient. If not, it moves the SL to break-even to avoid taking the full Stop-Loss on weak signals.

WOLF
Post continuous · morphological trigger

It monitors the M5 pivots (HH/HL/LH/LL) in real time and identifies when market dynamics turn against the trade: it moves the SL to a percentage of the peak to capture a portion of the profit before the reversal.

This is an open research lab, not a pre-packaged course. We work together on data-driven strategies: manual (Cash-AR 2026) and automated (quant + AI).
Zero gurus. Zero promises. Just data, method and a collaborative team.

Base vs Premium

Two membership tiers. With Premium you unlock the Nature Law AI strategies, the optimization credits, the dynamic tools and 1:1 coaching with Stefano.

Period Base Premium
Monthly €45 €245
Annual €450 €2,450
3 years €900 €4,450
Activate Base Activate Premium

Benefits by level

Benefit Base Premium
Realistic AI Strategy Slots 5 / 10 / 25 5 / 10 / 25
Nature Law AI Strategy Slots 5 / 10 / 25
Research + Production Accounts 10 / 20 / ∞ 10 / 20 / ∞
Analysis / BackTest Pages 2 / 5 / ∞ 2 / 5 / ∞
Directional Power Tools 2 / 5 / ∞ 2 / 5 / ∞
PineScript Indicators 5 / 5 / ∞ 5 / 5 / ∞
Realistic AI Optimization Credits 25 / 40 / 60 per month
Realistic Engine AI Editor
Edit + Recalculate Tab with comparison
Details Panel with equity curve + comparison
1:1 Coaching with Stefano Mastria 2 / 4 / 6 hours per month
Becoming a community Publisher upon authorization

The three values x / y / z indicate the training levels Student · ADV2 / ADV2+ · Community Trader. = unlimited. All plans include the community benefits listed above.

Community language

The community and the training courses currently operate in Italian only — an English version will be available soon. The eBooks and the quantitative strategies are already available in English.

Disclaimer. The contents and the eBooks are for educational and informational purposes only. They do not constitute financial advice nor an invitation to operate on the markets. Trading involves a high risk of capital loss and is not suitable for everyone. Past performance is not indicative of future results.

© 2026 Trend Following Traders Community — Stefano Mastria

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