FUTURES TRADING FROM ZERO

About this book

FUTURES TRADING FROM ZERO is built around a simple premise: futures trading becomes dangerous when a trader learns patterns before learning the contract. This book therefore starts below the chart. It explains what a futures contract is, how an exchange, clearinghouse, broker and data feed divide responsibilities, how a buy order becomes an open position, and why the same market move can represent radically different dollar risk depending on the contract family being traded.

The first technical layer is contract selection. The book separates the major equity-index futures families instead of treating “the S&P” or “the Nasdaq” as one product. ES and MES are compared with the smaller E-Nano contracts; NQ and MNQ are placed alongside NNQ; Russell and Dow contracts are used to show how multipliers, tick increments and liquidity differ across products. The practical objective is not memorization. It is the ability to read a specification sheet, convert index movement into dollars, distinguish notional exposure from account balance and choose a contract size that can actually fit a defined risk budget.

Margin is treated as collateral and operational policy, not as the trader’s maximum possible loss. The book works through initial and maintenance margin, broker intraday requirements, daily settlement, variation margin, profit-and-loss arithmetic, commissions, exchange fees, spread and slippage. It then adds fair value, basis and convergence so that futures are understood in relation to the cash index rather than as isolated chart symbols. A dedicated hedging chapter shows how index futures can alter portfolio exposure, while repeatedly separating a hedge ratio from a prediction about direction.

Time matters almost as much as price. Separate chapters cover session structure, time zones, market breaks, scheduled news, quarterly expiration, cash settlement, rolling a position, interdelivery spreads, curve shape, roll yield and the strengths and traps of continuous contracts. This matters because a clean historical chart can hide a chain of different expiring contracts, and a roll can alter the apparent price history without representing an economic trading profit.

The charting section begins with what a candle actually records and builds into trends, ranges, rotational markets, swing points, structural failure, support, resistance, visible liquidity, breakouts, failed breakouts, gaps and volatility regimes. Price action is then connected to auction logic. VWAP and Volume Profile are used as contextual tools rather than automatic entry signals, with attention to point of control, value areas, nodes and the cases in which structure, VWAP and profile disagree.

The order-flow section moves below the candle. It explains what Level 2 data can and cannot reveal, how to read the DOM without pretending to know hidden intent, what Time & Sales actually records, how footprint charts distribute traded volume across price, and how delta and cumulative volume delta can be compared with price. Absorption, exhaustion and iceberg behavior are treated as hypotheses that require context, not labels that guarantee the next move. The purpose is to build an evidence stack from conflicting signals rather than to search for one indicator that always wins.

Execution receives its own operating framework. Market, limit, stop and stop-limit orders are examined together with queue position, partial fills, market impact, slippage, latency and spread. Entry is tied to invalidation; stops and targets are tied to position size; trailing exits and scaling are treated as changes to exposure rather than cosmetic trade management. A separate failure chapter addresses the moments when data, platform behavior or order execution breaks the original plan.

The risk section treats survival as a system. Readers work from stop-based risk per contract into contract sizing, correlated futures, portfolio heat, volatility targeting, drawdown limits, expectancy, R-multiples and strategy fragility. The central rule is deliberate: the risk plan must be allowed to override the setup. A compelling chart is never permission to ignore the size of the loss that can occur if the trade is wrong.

The final movement turns ideas into evidence. The book shows how to write falsifiable rules, prepare futures data for testing, build a reproducible Python research workflow, model costs and fills, separate in-sample discovery from out-of-sample evaluation, use walk-forward logic, test sensitivity to fees and contract choice, and apply Monte Carlo and stress analysis to fragile strategies. It ends with case studies, journaling, broker/platform/data due diligence and a ninety-day practice path designed to move the reader from isolated knowledge toward a professional operating routine.

Featured article on Medium

Why a Perfect Trading Setup Can Still Lose You Money expands on one of the central ideas behind FUTURES TRADING FROM ZERO: a visually convincing setup is only one part of a real trade. Contract size, margin, spread, slippage, order execution, volatility, position sizing and risk limits can turn an attractive chart pattern into a poor financial decision. The article introduces this execution-first perspective and shows why professional futures trading requires more than finding entries.

It is a useful companion read for traders who want to understand the book’s emphasis on the gap between a trading idea and the result actually produced after market mechanics, costs and risk are taken into account.

The 70-lesson learning path

• Lessons 01–05 — The Trade Before the Chart: futures contracts, exchange and clearing structure, brokers, data feeds, market participants and reconstruction of a first trade.
• Lessons 06–11 — Selecting and Decoding the Contract: ES, MES, NQ, MNQ, NES, NNQ, Russell and Dow contract families, plus specification-sheet reading.
• Lessons 12–18 — Exposure, Margin and the Cost of Trading: notional exposure, fair value, basis, hedging, initial and maintenance margin, variation margin, P&L and true trading costs.
• Lessons 19–24 — Time, Expiration and Historical Continuity: sessions, time zones, scheduled news, expiration, cash settlement, rolls, spreads, curve shape, roll yield and continuous contracts.
• Lessons 25–30 — Price Action and Market Structure: candles, trends, ranges, swings, structural failure, support/resistance, visible liquidity, breakouts, traps, gaps and volatility regimes.
• Lessons 31–36 — Auction, VWAP and Volume Profile: regime classification, auction logic, volume, open interest, VWAP, POC, value areas, profile nodes and conflicting context.
• Lessons 37–43 — Order Flow Under the Microscope: Level 2, DOM, Time & Sales, footprint charts, delta, cumulative delta, absorption, exhaustion, icebergs and signal conflict.
• Lessons 44–49 — Execution: From Idea to Fill: order types, queues, partial fills, impact, slippage, latency, spread, invalidation-based entry, exits, scaling and execution failure.
• Lessons 50–56 — Risk as an Operating System: stop-based risk, contract sizing, correlated exposure, portfolio heat, volatility targeting, drawdown, loss limits, expectancy and fragility.
• Lessons 57–64 — Testing Before Believing: falsifiable rules, data preparation, reproducible Python research, execution-aware backtests, out-of-sample and walk-forward tests, fee sensitivity, Monte Carlo and forward observation.
• Lessons 65–70 — Building a Professional Operating Routine: decision sheets, contrasting case studies, trade journals, process review, broker/platform/data selection and a ninety-day graduation path.

What you will learn

• Understand how a futures contract is created, cleared, margined, settled and closed.
• Distinguish ES, MES and E-Nano S&P contracts by multiplier, tick structure, exposure and practical account fit.
• Compare NQ, MNQ and NNQ without confusing a smaller contract with automatically smaller percentage risk.
• Read a futures contract specification sheet and convert price movement into dollar P&L.
• Separate notional exposure, account equity, initial margin, maintenance margin and broker intraday margin.
• Understand cash-futures fair value, basis, convergence and the mechanics of index-futures hedging.
• Calculate break-even after commissions, fees, bid-ask spread and slippage.
• Work with session times, scheduled releases, expiration, rolling and cash settlement without mixing different contract periods.
• Recognize the analytical limitations of back-adjusted and continuous futures charts.
• Read candles, trends, ranges, swing structure, breakouts and failed breakouts as evidence rather than certainty.
• Use VWAP and Volume Profile as contextual frameworks and understand POC, value area and volume nodes.
• Interpret volume and open interest without treating either as a direct map of trader intent.
• Understand what Level 2, DOM and Time & Sales actually show—and what they cannot reveal.
• Read footprint charts, delta and cumulative delta while recognizing feed, aggregation and interpretation limits.
• Use absorption, exhaustion and iceberg clues only when the surrounding market context supports them.
• Choose among market, limit, stop and stop-limit orders according to execution risk rather than convenience.
• Account for queue position, partial fills, latency, spread and slippage before declaring a setup profitable.
• Build entries from invalidation and calculate position size from the planned loss budget.
• Control correlated exposure and portfolio heat when multiple index futures express the same underlying risk.
• Use drawdown limits, expectancy and R-multiples to judge whether a strategy can survive normal losing sequences.
• Translate a trading idea into a falsifiable rule instead of testing a story after seeing the chart.
• Prepare futures data for reproducible research and build a Python-based testing workflow.
• Use out-of-sample, walk-forward, sensitivity, Monte Carlo and stress tests to expose fragile strategies.
• Build a decision sheet, journal and review process that measures execution quality as well as profit.
• Follow a ninety-day practice path before increasing live risk.

Key topics

• Futures trading for beginners
• Micro E-mini futures
• E-mini futures
• E-Nano futures
• ES, MES, NES
• NQ, MNQ, NNQ
• Russell and Dow futures
• Contract multipliers and tick values
• Notional exposure
• Initial and maintenance margin
• Intraday margin policy
• Daily settlement and variation margin
• Fair value, basis and convergence
• Portfolio hedging
• Trading costs, spread and slippage
• Trading sessions and time zones
• Economic releases and volatility regimes
• Expiration, rollover and cash settlement
• Interdelivery spreads and roll yield
• Continuous futures contracts
• Price action and market structure
• Support, resistance and visible liquidity
• Breakouts and failed breakouts
• VWAP
• Volume Profile
• Point of Control and Value Area
• Level 2 market data
• DOM / Depth of Market
• Time & Sales
• Footprint charts
• Delta and cumulative volume delta
• Absorption, exhaustion and icebergs
• Market, limit, stop and stop-limit orders
• Queue position and partial fills
• Latency and market impact
• Stops, targets and scaling
• Position sizing
• Portfolio heat
• Volatility targeting
• Drawdown and loss limits
• Expectancy and R-multiples
• Backtesting futures strategies
• Python futures research
• Out-of-sample and walk-forward testing
• Monte Carlo and stress testing
• Trade journaling and professional execution

Who this book is for

This book is written for complete beginners who want to understand futures correctly before risking money, stock or ETF traders moving into leveraged index futures, Micro E-mini traders who want to graduate from chart patterns to contract and execution literacy, order-flow learners using DOM, Time & Sales or footprint charts, and systematic-minded traders who want their discretionary ideas to survive reproducible testing. No assumption is made that the reader already understands margin, expiration, rollover, futures data or execution mechanics.

Educational and risk boundary

Futures are leveraged instruments and can produce losses larger than the amount initially posted in some circumstances. Margin is a performance bond, not a cap on loss. Stop orders may fill away from their trigger price during fast or discontinuous markets, and broker requirements, exchange specifications, fees, data policies and permitted order behavior can change. The book is educational and is not individualized investment advice; current contract and broker rules should be verified before operational use.

About the author

Faramarz Kowsari is an Istanbul-based author and researcher working across technology, education, trading, artificial intelligence, prompt engineering, classical literature and mindfulness. He has published more than 160 digital titles on international platforms and also develops web-based educational tools and specialized instructional content.

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