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The Algomyth library

Guides

Everything worth knowing about automated futures trading, risk and evidence, written for people who verify before they believe. No lambos, no shortcuts, no hype.

115guides
7topics
13 hof reading
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The core guides

Long-form pillars on the big questions. Read one of these first, then go deep by topic.

Illustration for the Algomyth core guide on automated tradingFoundationsAutomated Trading: How It Works, What It Costs, What Can Go WrongThe whole picture of automated trading in US futures: the machinery, the inventory, the real costs, the measurement, and every way it fails.Core guide · 9 min readIllustration for the Algomyth core guide on best trading botsJudging a systemBest Trading Bots: Why the Rankings Are Bought and How to Judge One YourselfWhy no honest ranking of trading bots exists, and the eight-point checklist that replaces one.Core guide · 11 min readIllustration for the Algomyth core guide on trading robotsFoundationsTrading Robots: What They Are, What Is Inside One, and Why the Name Is TaintedTrading robots from zero: the anatomy, the limits, and the honest history behind the bad reputation.Core guide · 11 min readIllustration for the Algomyth core guide on futures trading botMarkets & order flowFutures Trading Bot: How Automating Index Futures Actually WorksEverything specific to automating US index futures: contracts, margin, rollover, the platform stack and bracket orders.Core guide · 10 min readIllustration for the Algomyth core guide on algorithmic tradingFoundationsAlgorithmic Trading Explained: What It Is, and What Retail Can Really DoWhat algorithmic trading actually covers, why most of it has nothing to do with prediction, and the real distance between a hedge fund desk and a retail laptop.Core guide · 11 min readIllustration for the Algomyth core guide on best trading systemsTesting & evidenceBest Trading Systems: How to Compare Them and Pick One That FitsHow to compare trading systems on logic, worst-case behavior, schedule and account size instead of on headline profit.Core guide · 11 min readIllustration for the Algomyth core guide on aI tradingAI & machine learningAI Trading: What Is Real, What Is Marketing, What Still Cannot Be DoneWhere machine learning genuinely works in markets, why predicting price direction is the hardest application of all, and how to read the words on an AI sales page.Core guide · 10 min readIllustration for the Algomyth core guide on how to trade with AIAI & machine learningHow to Trade With AI: The Four Jobs It Is Actually Good AtThe practical version: putting a language model to work on learning, code, your trade journal and your checklists, without letting it near your order entry.Core guide · 11 min readIllustration for the Algomyth core guide on best trading softwarePlatforms & toolsBest Trading Software for Futures: The Four Layers You Actually Pay ForThe software stack a futures trader actually needs, layer by layer, with an honest comparison of the platforms that can automate a strategy.Core guide · 10 min readIllustration for the Algomyth core guide on day trading for beginnersFoundationsDay Trading for Beginners: The Honest Version, With the ArithmeticAn honest beginner guide: the base rate of failure, the instruments, the real costs, position sizing, the psychology, and the only two routes that work.Core guide · 11 min readIllustration for the Algomyth core guide on how to trade futuresMarkets & order flowHow to Trade Futures: Contracts, Margin, Orders and a Worked TradeThe step-by-step mechanics of placing a US futures trade: specs, hours, margin, order types, a worked example in dollars, rollover and account setup.Core guide · 11 min read
Foundations

What automated trading is, what it costs, how a system is built and where it breaks.

All 22 in Foundations →
Illustration for the Algomyth guide on rules never to breakFoundationsNine Automated Trading Rules You Should Never BreakNine automated trading rules that decide whether a working system survives: trade the tested size, never oversize, never switch off inside a normal drawdown.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on is algo trading worth itFoundationsIs algorithmic trading worth it for retail? A straight answerIs algorithmic trading worth it for retail? The honest cost and benefit: capital, data, temperament and time against what automation buys.Nov 12, 2026 · 5 min readIllustration for the Algomyth guide on one trade a dayFoundationsOne trade a day vs many: why fewer trades often winOne trade a day versus many: what frequency really costs in commissions, discipline and setup quality, and why one system takes a single shot at 9:30 AM ET.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on before you go liveFoundationsThe going-live checklist: what to check before you switch a system onA going-live checklist for any automated system: platform, data, session times, position sizing, a kill switch and honest expectations.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on futures taxes (Section 1256)FoundationsFutures taxes explained: how Section 1256 works for US tradersA plain-English guide to Section 1256 futures taxes for US traders: the 60/40 rule, mark-to-market and Form 6781. General information, not tax advice.Nov 4, 2026 · 5 min readIllustration for the Algomyth guide on journaling an automated systemFoundationsHow to Keep a Trading Journal for an Automated SystemA trading journal for an automated system logs what the bot cannot: when to run or pause it, the sizing, and the drawdown you can tolerate.Oct 25, 2026 · 5 min readIllustration for the Algomyth guide on micro futures commissionsFoundationsCommissions and fees on micro futures, line by lineMicro futures commissions line by line: broker fee, exchange and NFA charges, data and slippage, and how to work out your real cost per round turn.Oct 14, 2026 · 6 min readIllustration for the Algomyth guide on semi vs fully automatedFoundationsSemi-Automated vs Fully Automated Trading: Where to Draw the LineSemi-automated trading keeps you on the trigger; fully automated hands execution to the machine. Where each one helps, and where each one hurts.Oct 4, 2026 · 5 min readIllustration for the Algomyth guide on trading computer uptimeFoundationsHow to keep a trading computer running 24/7 without missing a tradeKeeping a trading computer running 24/7 comes down to power settings, Windows updates, a wired connection and platform auto-restart. The full home-PC checklist.Sep 21, 2026 · 8 min readIllustration for the Algomyth guide on automated trading for beginnersFoundationsAutomated trading for beginners: what the first 90 days actually look likeA realistic 90-day plan for beginners in automated trading: learn the platform in simulation, go live small and sit out the first drawdown.Sep 10, 2026 · 5 min readIllustration for the Algomyth guide on copy trading vs botsFoundationsCopy trading vs trading bots: two ways of not trading yourselfCopy trading and a rule-based system have one thing in common: you are not trading. Everything else is different. Plus what copying your own accounts means.Aug 21, 2026 · 7 min readIllustration for the Algomyth guide on futures taxes and Section 1256FoundationsHow futures profits are taxed in the US: Section 1256 and the 60/40 ruleHow US futures profits are taxed: Section 1256, the 60/40 rule, mark-to-market and Form 6781. General information, not tax advice.Jul 31, 2026 · 6 min readIllustration for the Algomyth guide on is automated trading legal?FoundationsIs automated trading legal in the US? Yes, with a few things worth knowingRunning a bot in your own account is legal. Managing other money or selling signals pulls you into CFTC territory. Where the line sits, in plain terms.Jul 28, 2026 · 6 min readIllustration for the Algomyth guide on crypto bots vs futures botsFoundationsCrypto bots vs futures bots: where automation actually pays offSame code, two very different venues. Hours, counterparty risk, fees, depth and grid-bot math compared for crypto exchanges and CME futures.Jul 24, 2026 · 7 min readIllustration for the Algomyth guide on how a trading algorithm worksFoundationsHow a trading algorithm works, from the data feed to the orderInside an automated system: the market data feed, the conditions checked on every bar, the bracket order it builds, and the state it has to keep to survive.Jul 14, 2026 · 9 min readIllustration for the Algomyth guide on complete guide to trading botsFoundationsThe complete guide to trading bots: what they are, what they cost, what breaksAutomated trading systems in one place: the families, the anatomy, the metrics that matter, the real costs, the two capital routes, and what actually breaks.Jun 30, 2026 · 8 min readIllustration for the Algomyth guide on automated vs manualFoundationsAutomated vs manual trading: what the data says and what your nerves sayA machine executes better than you. You judge better than it does. Where automated trading wins, where a human still wins, and how to tell which one you are.May 29, 2026 · 7 min readIllustration for the Algomyth guide on what a trading bot isFoundationsWhat a trading bot actually is, explained without the hypeA trading bot is a program that buys and sells by fixed rules, without nerves. What it does, what it never does, and how to tell a serious one from a toy.May 26, 2026 · 7 min read
Markets & order flow

Contracts, sessions, the open and how the auction actually moves price.

All 23 in Markets & order flow →
Illustration for the Algomyth guide on balance vs imbalanceMarkets & order flowMarket structure: balance versus imbalance, explained for the openMarket structure has two states: balance, where price rotates inside a range, and imbalance, where it trends. The open is where one flips to the other.Nov 13, 2026 · 7 min readIllustration for the Algomyth guide on delta and cumulative deltaMarkets & order flowDelta and cumulative delta: what they show and what they do notDelta is aggressive buying minus aggressive selling on the tape. What cumulative delta trading shows, what a divergence means, and where the read stops working.Nov 12, 2026 · 8 min readIllustration for the Algomyth guide on the economic calendarMarkets & order flowThe economic calendar for futures traders: what actually moves priceWhich releases actually move index futures: the 8:30 AM ET data, the 10:00 AM reports and FOMC afternoons, why the surprise is what matters, and how to use it.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on order flow vs price actionMarkets & order flowOrder flow vs price action: which one tells you moreOrder flow is the tape, the book and delta. Price action is bars and structure. What each one shows, what neither shows, and which one a system can use.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on the opening rangeMarkets & order flowThe opening range: what it is and why systems anchor to itThe opening range is the high and low of the first minutes of a session. What it measures, how opening range trading works, and where it stops working.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on tick and point valueMarkets & order flowFutures tick value and point value: the arithmetic that sets your sizeFutures tick value is the cash in one minimum price move: on MNQ that is $0.50 a tick and $2 a point. Here is the arithmetic that turns a stop into size.Nov 10, 2026 · 7 min readIllustration for the Algomyth guide on vWAP explainedMarkets & order flowVWAP explained: what it is and how trading systems use itVWAP explained in plain English: the volume-weighted average price, why institutions use it as a benchmark, and how automated systems reference it without hype.Nov 3, 2026 · 8 min readIllustration for the Algomyth guide on eS vs NQMarkets & order flowES vs NQ: which index future for an automated systemES vs NQ for an automated system: tick value, volatility, liquidity and the character of the two index futures, compared for systematic trading.Oct 31, 2026 · 5 min readIllustration for the Algomyth guide on absorption and exhaustionMarkets & order flowAbsorption and exhaustion, explainedAbsorption is big limit orders soaking up aggressive buying or selling. Exhaustion is aggression drying up. What each order-flow read suggests, and its limits.Oct 24, 2026 · 6 min readIllustration for the Algomyth guide on contract rolloverMarkets & order flowContract rollover explained (and how it breaks bots)Futures contract rollover happens quarterly, on the third Friday of March, June, September and December. Why continuous contracts matter and how it breaks bots.Oct 21, 2026 · 7 min readIllustration for the Algomyth guide on bid, ask and the tapeMarkets & order flowBid, ask and the tape: what aggression really meansThe bid is what buyers will pay, the ask what sellers want. What the bid-ask spread and tape reading really tell you about aggression, and where they stop.Oct 13, 2026 · 5 min readIllustration for the Algomyth guide on futures market hoursMarkets & order flowFutures Market Hours and Sessions: Which Ones Are Worth TradingFutures market hours run nearly 24/5 on CME Globex, Sunday 6 PM to Friday 5 PM ET. The sessions explained, plus why a system trades only the 9:30 AM window.Oct 10, 2026 · 7 min readIllustration for the Algomyth guide on auction market theoryMarkets & order flowAuction Market Theory in One PageAuction market theory in one page: price advertises opportunity, volume confirms it, and value builds where trade concentrates. Here is how it reads the open.Oct 1, 2026 · 6 min readIllustration for the Algomyth guide on what moves the NasdaqMarkets & order flowWhat moves the Nasdaq at the open: 8:30 data and the 9:30 bellThe 8:30 AM ET data releases and the 9:30 cash open drive most of the Nasdaq's volatility. What moves the Nasdaq at the open, and why one window is enough.Sep 28, 2026 · 6 min readIllustration for the Algomyth guide on volume profile explainedMarkets & order flowVolume profile explained: POC, value area and LVN in plain EnglishVolume profile draws volume by price instead of by time. Plain-English POC, value area, and high and low volume nodes, plus how price reacts at each level.Sep 20, 2026 · 7 min readIllustration for the Algomyth guide on micro vs mini futuresMarkets & order flowMicro vs mini futures: tick value, margin, and risk comparedA micro E-mini is one tenth of its mini: MNQ moves $2 a point, NQ moves $20. How micro vs mini futures compare on tick value, margin and the risk you control.Sep 16, 2026 · 6 min readIllustration for the Algomyth guide on order flow tradingMarkets & order flowOrder Flow Trading Explained for BeginnersOrder flow trading is the real buying and selling at each price, shown by the depth of market, footprint and volume profile, unlike a lagging indicator.Sep 8, 2026 · 6 min readIllustration for the Algomyth guide on mNQ vs NQMarkets & order flowMNQ vs NQ: Which Nasdaq Future Should You Trade?MNQ vs NQ: the micro is one tenth the size of the mini, $2 versus $20 a point on the same Nasdaq-100. A clear spec comparison and which one to trade first.Sep 5, 2026 · 6 min readIllustration for the Algomyth guide on order flow vs indicatorsMarkets & order flowOrder flow vs indicators: what a modern system actually looks atIndicators are derivatives of price. Order flow is the book and the tape. Neither is magic. What a modern system actually reads at 9:30 AM ET, in plain terms.Aug 25, 2026 · 8 min readIllustration for the Algomyth guide on the 8:30 data and the 9:30 openMarkets & order flowThe 8:30 data window and the 9:30 open: two very different momentsAt 8:30 AM ET the US releases its economic data; at 9:30 the cash market opens and the day's volume arrives. What happens in each, and why one window beats all day.Jun 23, 2026 · 9 min readIllustration for the Algomyth guide on futures and microsMarkets & order flowFutures and micro contracts: what they are and why the small ones matterA tick on the MES is worth about $1.25. What a futures contract is, why index futures, and how micro contracts changed who can trade this market at all.Jun 5, 2026 · 6 min read
Risk & sizing

Drawdown, position size and the arithmetic that decides whether you are still here next year.

All 13 in Risk & sizing →
Illustration for the Algomyth guide on recovering from drawdownRisk & sizingRecovering from a drawdown: the math you should know firstLose 20% and you need 25% to get even. Lose 50% and you need 100%. The math of drawdown recovery, why depth compounds against you, and what to control.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on survivorship bias explainedRisk & sizingSurvivorship bias in trading: why you only ever see the winnersSurvivorship bias in trading means you only see what survived: the funds, traders and strategies that lived. How it inflates expectations, and how to check.Nov 12, 2026 · 5 min readIllustration for the Algomyth guide on how much to riskRisk & sizingHow much to risk per trade (and how futures change the 1% rule)How much to risk per trade? One percent of the account is the usual answer, but a fixed futures stop in dollars changes the math. Here is how.Nov 11, 2026 · 4 min readIllustration for the Algomyth guide on watching a bot loseRisk & sizingThe psychology of watching a bot loseThe hardest part of automated trading is not the code, it is sitting through a normal drawdown without switching the bot off. Here is why, and how to do it.Nov 1, 2026 · 5 min readIllustration for the Algomyth guide on 3:1 reward-to-riskRisk & sizingWhy a 3:1 reward-to-risk changes everythingA 3:1 reward-to-risk ratio lets you lose three trades in four and still break even. The arithmetic, worked through, and what the lower bar changes.Oct 22, 2026 · 5 min readIllustration for the Algomyth guide on risk of ruinRisk & sizingRisk of Ruin in Trading, Explained With a Coin FlipRisk of ruin in trading, explained with a coin flip: how win rate, payoff and bet size decide whether you go broke, and why tested sizing keeps it low.Oct 11, 2026 · 5 min readIllustration for the Algomyth guide on max vs average drawdownRisk & sizingMax drawdown vs average drawdown, and why you plan around the maxMax drawdown is the deepest peak-to-trough fall; average drawdown is the typical dip. Read both: you plan around the max and set expectations by the average.Sep 29, 2026 · 4 min readIllustration for the Algomyth guide on daily loss limitsRisk & sizingDaily loss limits: why every serious system has oneA daily loss limit is a hard cap that stops trading once losses reach a set amount. Why every serious system enforces one, with an example.Sep 17, 2026 · 4 min readIllustration for the Algomyth guide on position sizing futuresRisk & sizingPosition Sizing for Automated Futures, Done RightPosition sizing for automated futures is set by your account size and drawdown, not confidence: 50k runs one micro, and doubling it doubles the drawdown.Sep 6, 2026 · 4 min readIllustration for the Algomyth guide on slippage and commissionsRisk & sizingSlippage and commissions: why your real result is never the backtest resultYour real result is never the backtest result. What a round turn costs, what slippage is, and why a 3-to-1 system barely notices what kills a scalper.Aug 18, 2026 · 8 min readIllustration for the Algomyth guide on risk-reward and win rateRisk & sizingRisk-reward and win rate: why being right a lot is not the same as making moneyBeing right a lot is not the same as making money. The breakeven formula, worked examples at 1:1, 2:1 and 3:1, expectancy, and the 90% win rate trap explained.Aug 7, 2026 · 8 min readIllustration for the Algomyth guide on what drawdown isRisk & sizingDrawdown: the number that decides whether you are still there in a yearDrawdown is the peak-to-trough loss that decides whether you stay in the game. Absolute vs percent, time underwater, and how to plan around it.Aug 4, 2026 · 5 min readIllustration for the Algomyth guide on how much money you needRisk & sizingHow much money do you actually need to startHow much money you need to start trading futures depends on the drawdown you must survive, not on the margin. The arithmetic, done in front of you.Jun 16, 2026 · 4 min read
Testing & evidence

Backtests, metrics and track records: how to read the numbers without being fooled.

All 16 in Testing & evidence →
Illustration for the Algomyth guide on reading a fact sheetTesting & evidenceHow to read a trading strategy fact sheet without being fooledRead any trading strategy fact sheet in five minutes with five questions: live or backtest, sample size, gross or net, account and contracts, worst drawdown.Nov 12, 2026 · 4 min readIllustration for the Algomyth guide on monte Carlo simulationTesting & evidenceMonte Carlo simulation for trading systems, in plain EnglishMonte Carlo simulation reshuffles the order of your trades thousands of times to reveal a range of drawdowns and returns, not one single lucky equity curve.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on signal vs systemTesting & evidenceSignal vs system vs strategy: what you are actually buyingA trading signal is one instruction, a strategy is the idea behind it, and a system is the complete rule set. Knowing which one you buy changes everything.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on paper trading vs liveTesting & evidencePaper trading vs live: the gap nobody warns you aboutPaper trading vs live: why simulated results overstate real performance, where the gap really comes from (fills, slippage, emotion) and how to bridge it.Nov 5, 2026 · 6 min readIllustration for the Algomyth guide on reading an equity curveTesting & evidenceHow to read an equity curve (and spot one that is faked)How to read an equity curve: what the slope, the drawdowns and the flat spots really tell you, and why a believable curve looks lumpier than a fake one.Nov 2, 2026 · 7 min readIllustration for the Algomyth guide on walk-forward testingTesting & evidenceWalk-Forward Testing Explained: The Backtest You Can Trust MoreWalk-forward testing optimizes on one slice of history and validates on the next, unseen slice, which is why it catches curve-fitting a single backtest hides.Oct 26, 2026 · 7 min readIllustration for the Algomyth guide on hypothetical performanceTesting & evidenceWhy past performance is genuinely hypothetical (in CFTC terms)The hypothetical performance disclaimer is not legal throat-clearing. In CFTC terms, why simulated results are genuinely hypothetical, clause by clause.Oct 23, 2026 · 6 min readIllustration for the Algomyth guide on why strategies stop workingTesting & evidenceWhy automated strategies stop working (regime change, explained)Markets shift and edges decay. Why automated trading strategies stop working, what regime change is, and how to tell a dead strategy from a normal drawdown.Oct 15, 2026 · 7 min readIllustration for the Algomyth guide on in-sample vs out-of-sampleTesting & evidenceIn-Sample vs Out-of-Sample: The Split That Saves YouIn-sample vs out-of-sample testing explained: why you hold data back, how testing on everything curve-fits a backtest, and how a split builds real trust.Oct 12, 2026 · 7 min readIllustration for the Algomyth guide on what slippage costsTesting & evidenceSlippage: The Hidden Cost That Kills Backtested EdgesSlippage is the gap between the price you expect and the price you get, and it quietly erodes a backtested trading edge. Here is how to account for it.Oct 3, 2026 · 5 min readIllustration for the Algomyth guide on backtest sample sizeTesting & evidenceBacktest Sample Size: How Many Trades Before It Means AnythingBacktest sample size decides whether a result is real or luck: why 30 trades prove nothing, what a meaningful sample looks like, and how a small one fools you.Sep 30, 2026 · 6 min readIllustration for the Algomyth guide on sharpe vs profit factorTesting & evidenceSharpe ratio vs profit factor: how to judge a trading systemProfit factor measures gross wins over losses; the Sharpe ratio measures return per unit of volatility. Where each misleads for a once-a-day futures system.Sep 19, 2026 · 5 min readIllustration for the Algomyth guide on profit factor explainedTesting & evidenceProfit Factor Explained (And Where It Misleads You)Profit factor is total money won divided by total money lost. What it tells you, and why a very high number is often a warning, not a better system.Sep 7, 2026 · 3 min readIllustration for the Algomyth guide on overfitting and curve fittingTesting & evidenceOverfitting and curve fitting: why beautiful backtests die in live tradingWhy beautiful backtests die in live trading: what curve fitting is, how optimization creates it, in-sample vs out-of-sample, and the tells you can check.Aug 11, 2026 · 9 min readIllustration for the Algomyth guide on what a backtest isTesting & evidenceWhat a backtest is, and when you can actually trust oneA backtest is a simulation, not a track record. Look-ahead bias, tick data, zero commissions and sample size, plus how to reproduce ours in NinjaTrader 8.Jun 9, 2026 · 5 min read
AI & machine learning

What models can and cannot do with markets, with the marketing removed.

All 14 in AI & machine learning →
Illustration for the Algomyth guide on hedge funds and MLAI & machine learningHow Hedge Funds Actually Use Machine Learning (Not What the Ads Say)Hedge funds use machine learning for execution, risk and data research, not price prediction. What that takes, and why the retail AI bot rarely holds up.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on neural nets and overfittingAI & machine learningNeural networks for price prediction: why they overfit so easilyNeural network trading models fit price history almost perfectly and predict the next week badly. Why non-stationarity, noise and data hunger break them.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on aI vs rule-basedAI & machine learningAI vs Rule-Based Trading Systems: Which Wins, and WhenAI vs rule-based trading, compared on interpretability, overfitting and debugging: when a black box wins, and when plain rules win.Nov 7, 2026 · 6 min readIllustration for the Algomyth guide on is AI trading a scam?AI & machine learningIs AI Trading a Scam? How to Tell the Real From the SoldIs AI trading a scam? Not always. Judge what you can verify: reproducible results, drawdown shown, an account size and period, and no guaranteed returns.Oct 28, 2026 · 5 min readIllustration for the Algomyth guide on trading on sentimentAI & machine learningSentiment Analysis Trading: Does It Actually Work?Sentiment analysis trading reads news, social media and positioning to gauge market mood. Here is why it is so noisy at retail, and where it has real use.Oct 18, 2026 · 6 min readIllustration for the Algomyth guide on aI trading signalsAI & machine learningAI trading signals: why most of them are noiseMost AI trading signals are noise: no verifiable edge, no reproducibility, and marketing built on survivorship. Here is what would make one actually useful.Oct 6, 2026 · 7 min readIllustration for the Algomyth guide on reinforcement learning in tradingAI & machine learningReinforcement learning in trading, in plain EnglishWhat reinforcement learning is, why it looks perfect for trading, and why it usually fails: non-stationary markets, reward hacking and overfitting to history.Sep 24, 2026 · 7 min readIllustration for the Algomyth guide on chatGPT and chartsAI & machine learningLLMs for trading: what ChatGPT can and cannot do with a chartWhat ChatGPT can and cannot do with a trading chart: it explains concepts and checks strategy code, yet it cannot predict prices, read live data, or trade.Sep 13, 2026 · 6 min readIllustration for the Algomyth guide on can AI predict marketsAI & machine learningCan AI Predict the Stock Market? What the Research Actually SaysCan AI predict the stock market? The honest research answer is no, and here is why efficient markets, non-stationarity and overfitting defeat price prediction.Sep 1, 2026 · 6 min readIllustration for the Algomyth guide on chatGPT for tradingAI & machine learningWhat ChatGPT is actually useful for in trading, and what it should never touchA language model is a fine explainer, code assistant and note-taker. It is a terrible source of prices, signals and backtest figures. Where the line sits.Jul 21, 2026 · 9 min readIllustration for the Algomyth guide on machine learning in tradingAI & machine learningMachine learning in trading: why the model that shines on your laptop dies liveNon-stationarity, low signal-to-noise, leakage, costs left out of the loss function: why ML models look brilliant in backtest and go flat in live trading.Jul 17, 2026 · 9 min readIllustration for the Algomyth guide on aI trading: what is realAI & machine learningAI trading: what is real and what is just a sales pageWhat artificial intelligence actually does in markets, what gets sold as AI without being AI, and why a rule-based system you can audit beats a black box.Jul 3, 2026 · 9 min read
Platforms & tools

Charting platforms, data feeds, servers and the plumbing behind a trading desk.

All 13 in Platforms & tools →
Illustration for the Algomyth guide on automating on NinjaTraderPlatforms & toolsAutomating a strategy on NinjaTrader: from idea to liveHow to automate a strategy on NinjaTrader 8: write or buy the code, test it in the Strategy Analyzer, run it in simulation, then go live at one contract.Nov 12, 2026 · 7 min readIllustration for the Algomyth guide on ninjaTrader data feedPlatforms & toolsWhat data feed do you need for NinjaTrader 8? Real-time vs delayedAn automated strategy in NinjaTrader 8 needs a real-time CME data feed, not a delayed one. What free, delayed and live feeds cost, and what a bot needs loaded.Nov 12, 2026 · 5 min readIllustration for the Algomyth guide on ninjaTrader Market ReplayPlatforms & toolsNinjaTrader Market Replay: How to Practice on Past SessionsNinjaTrader Market Replay lets you replay past sessions tick by tick to watch how a system behaves. How to download the data, run it, and what it is not for.Nov 8, 2026 · 8 min readIllustration for the Algomyth guide on ninjaTrader 8 errorsPlatforms & toolsCommon NinjaTrader 8 errors, and the exact fix for eachThe NinjaTrader 8 errors that show up most often: data not loaded, connection lost, strategy disabled, compile failures, and the exact fix for each one.Oct 29, 2026 · 7 min readIllustration for the Algomyth guide on ninjaTrader vs TradingViewPlatforms & toolsNinjaTrader vs TradingView vs Sierra Chart for AutomationNinjaTrader vs TradingView vs Sierra Chart for automating futures: backtest realism, execution, data and cost compared side by side.Oct 19, 2026 · 5 min readIllustration for the Algomyth guide on import a NinjaScript strategyPlatforms & toolsHow to import and run a NinjaScript strategy in NinjaTrader 8A step-by-step guide to import a NinjaScript strategy into NinjaTrader 8, compile it, add it to a chart, and run it safely in simulation before you go live.Oct 7, 2026 · 5 min readIllustration for the Algomyth guide on strategy Analyzer explainedPlatforms & toolsThe NinjaTrader Strategy Analyzer, explained setting by settingThe Strategy Analyzer is where a backtest becomes a number in NinjaTrader. A field-by-field tour of instrument, period, data, fills, commissions and slippage.Sep 26, 2026 · 5 min readIllustration for the Algomyth guide on backtest in NinjaTrader 8Platforms & toolsHow to backtest a strategy in NinjaTrader 8, step by stepHow to backtest in NinjaTrader 8, step by step: open the Strategy Analyzer, pick MNQ, set the period, fix commissions and slippage, then read the report.Sep 14, 2026 · 6 min readIllustration for the Algomyth guide on vPS for tradingPlatforms & toolsVPS for trading: when it is worth it and how to pick oneA VPS keeps an automated trading system online when home power or internet fails, but a once-a-day system may not need one. When a VPS for trading pays off.Sep 9, 2026 · 5 min readIllustration for the Algomyth guide on ninjaTrader 8 for beginnersPlatforms & toolsNinjaTrader 8 for Beginners: The Honest Starter GuideNinjaTrader 8 for beginners, explained calmly: what the free platform does, the license tiers, connecting data, sim versus live, and the Strategy Analyzer.Sep 2, 2026 · 5 min readIllustration for the Algomyth guide on vPS for automated tradingPlatforms & toolsDo you need a VPS for automated trading, or are you just spending money?A VPS fixes power cuts, home internet and badly timed Windows updates. It does not fix latency, and it is not always worth paying for. When to buy one.Aug 14, 2026 · 8 min readIllustration for the Algomyth guide on ninjaTrader 8 explainedPlatforms & toolsNinjaTrader 8 explained: what it is and why futures systems live thereWhat NinjaTrader 8 actually is, what it costs, what NinjaScript and the Strategy Analyzer do, and why a serious futures system almost always runs on it.Jun 19, 2026 · 7 min read
Judging a system

Red flags, honest questions and the checklist to use on any seller, including us.

All 14 in Judging a system →
Illustration for the Algomyth guide on do trading bots workJudging a systemDo Trading Bots Really Work? What the Evidence SaysDo trading bots work? Yes at executing an edge without flinching, no at inventing one. What the evidence supports, and what the marketing quietly leaves out.Nov 12, 2026 · 6 min readIllustration for the Algomyth guide on why cheap bots cost mostJudging a systemWhy cheap trading bots cost the most, in actual dollarsA cheap bot that burns months and a slice of your account costs far more than its price. What cheap trading bots really cost, in dollars.Nov 12, 2026 · 4 min readIllustration for the Algomyth guide on what a bot can promiseJudging a systemWhat a Trading Bot Can and Cannot Legally Promise YouA US trading bot cannot legally promise guaranteed returns or say it is risk-free. Where the CFTC, NFA and FTC draw the line, and what honest claims look like.Nov 6, 2026 · 7 min readIllustration for the Algomyth guide on trading bot mythsJudging a systemTrading Bot Myths, Debunked One by OneThe common trading bot myths debunked one by one: set-and-forget income, near-perfect win rates, more trades meaning more profit, and AI that beats the market.Oct 27, 2026 · 6 min readIllustration for the Algomyth guide on the martingale bot trapJudging a systemMartingale Trading Bots: The Math That Guarantees RuinMartingale and averaging-down bots win small for months, then one losing streak wipes the whole account. The math of ruin, and why a fixed stop beats it.Oct 17, 2026 · 6 min readIllustration for the Algomyth guide on grid bots explainedJudging a systemGrid trading bots explained, and why so many blow upA grid trading bot places layered buy and sell orders around a price and profits from chop, until a real trend arrives with no stop and wipes the account.Oct 5, 2026 · 5 min readIllustration for the Algomyth guide on the 100% win-rate lieJudging a systemWhy a 100% win-rate bot is always a lieA 100% win-rate bot is always hiding something: open losers with no stop, martingale sizing, a cherry-picked window, or no drawdown. How the trick works.Sep 23, 2026 · 6 min readIllustration for the Algomyth guide on ten automation mistakesJudging a systemThe ten mistakes that ruin a perfectly good trading systemMost automated systems do not fail on their own. Their owners break them. The ten mistakes that ruin a working trading system, and what each one really costs.Sep 4, 2026 · 6 min readIllustration for the Algomyth guide on spotting fake recordsJudging a systemHow to Spot a Fake Trading Bot Track RecordHow to spot a fake trading bot track record: the tells are a drawdown-free curve, no account size, a cherry-picked window, and a result you cannot reproduce.Aug 31, 2026 · 6 min readIllustration for the Algomyth guide on free trading botsJudging a systemFree trading bots: what you actually find when you go lookingOpen-source toolkits, broker demos, abandoned repos and the ones where you are the product. What free trading bots really are, and when free is right.Jul 10, 2026 · 8 min readIllustration for the Algomyth guide on how to choose a trading botJudging a systemHow to choose a trading bot: the checklist to demand from any sellerThe checklist to demand from anyone selling you a trading system, us included: reproducible backtest, published drawdown, sample size, license and refund terms.Jul 7, 2026 · 6 min readIllustration for the Algomyth guide on why most traders loseJudging a systemWhy most traders lose, and what a machine does differentlyBetween 70% and 85% of retail traders lose money. Not from ignorance, but from six specific execution failures. What they are and how automation removes them.Jun 26, 2026 · 9 min readIllustration for the Algomyth guide on trading bot red flagsJudging a systemSeven red flags that give away a trading bot scam in five minutesGuaranteed returns, unreproducible screenshots, no drawdown, fake reviews, countdown timers, secret algorithms, credential requests. Seven checks, five minutes.Jun 12, 2026 · 7 min read
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Put a capital and a start date against the record of the three engines, priced at today's point values, and see what the discipline in these guides looks like in practice.