Podcasts about backtest

Du hast ein System gebacktestet. Die Winrate ist hoch, die Equity Curve sieht traumhaft aus und alles deutet darauf hin, dass die Strategie funktionieren sollte. Doch sobald echtes Geld im Spiel ist, bricht das Vertrauen zusammen. Warum passiert das? In dieser Folge sprechen wir über einen der häufigsten Fehler im Trading: subjektive Entscheidungen im Backtest. Kleine Anpassungen, Interpretationsspielräume und unbewusstes Schönrechnen können Ergebnisse erzeugen, die in der Realität nie existiert hätten. Du erfährst: • Warum viele Trader ihren eigenen Backtests nicht vertrauen können • Weshalb komplizierte Strategien oft mehr Probleme als Lösungen schaffen • Wie Unsicherheit zu Fehlentscheidungen führt • Warum Vertrauen wichtiger ist als eine hohe Winrate • Weshalb einfache, klare Regeln langfristig oft erfolgreicher sind Denn am Ende entscheidet nicht die perfekte Equity Curve über deinen Erfolg, sondern ein Prozess, den du auch dann konsequent umsetzen kannst, wenn echtes Geld auf dem Spiel steht. Trading lernen - Unsere Strategie einfach erklärt Persönliche Trading Ausbildung ⮕ https://4rex-impulse.com Broker mit niedrigen Spreads ⮕ https://broker.4rex-impulse.com Telegram Kanal ⮕ https://t.me/FourRex

When it comes to systematic trading trading, one of the most common objections concerns the reliability of backtesting itself. Many people believe that trading systems only work on past market data and that the results achieved through historical testing have no real predictive value. And to some extent, that criticism makes sense. Achieving excellent backtest results is not particularly difficult: all you need to do is keep adapting rules, filters, and parameters to past market data until you create a strategy that appears almost perfect. The problem is that, in many cases, you are not actually measuring the true statistical effectiveness of the strategy, but simply how well it fits the historical data used to build it. And this is exactly where one of the most common mistakes in systematic strategy development comes into play: overfitting. Overfitting refers to the tendency to create systems that are too closely "tailored" to historical data and therefore tend to lose effectiveness once applied to real markets. So does this mean that backtesting is useless? Absolutely not. When used correctly, historical testing is an essential tool for evaluating the robustness of a strategy and verifying whether a market logic actually has a certain level of statistical validity. The key is understanding how to build robust, simple strategies based on realistic market concepts, while avoiding excessive optimization and overly specific parameters. In today's episode, we will explore these aspects in depth, showing practical examples and discussing several useful techniques for developing trading systems with a higher probability of remaining effective in the future. Enjoy listening and happy trading!

Quando si parla di strategie di trading sistematico, una delle obiezioni più frequenti riguarda proprio l'affidabilità dei backtest. Molti sostengono infatti che i trading system funzionino solo sui dati passati e che i risultati ottenuti nei test storici non abbiano alcun reale valore predittivo. È una critica che, almeno in parte, ha senso. Ottenere risultati eccellenti nei backtest non è particolarmente difficile: basta continuare ad adattare regole, filtri e parametri ai dati del passato fino a costruire una strategia apparentemente perfetta. Il problema è che, in questo modo, spesso non si sta misurando una reale efficacia statistica della strategia, ma semplicemente quanto bene essa riesca ad adattarsi ai dati storici utilizzati per costruirla. Ed è proprio qui che entra in gioco uno degli errori più comuni nello sviluppo di strategie sistematiche: l'overfitting. Con questo termine si indica infatti la tendenza a creare sistemi troppo "cuciti" sui dati storici, che finiscono poi per perdere efficacia quando vengono applicati ai mercati reali. Ma allora significa che i backtest non servono? Assolutamente no. Se utilizzati correttamente, i test storici rappresentano uno strumento fondamentale per valutare la robustezza di una strategia e verificare se una logica di mercato abbia realmente una certa validità statistica. Il punto fondamentale è quindi capire come costruire strategie robuste, semplici e basate su logiche di mercato realistiche, evitando ottimizzazioni eccessive e parametri troppo specifici. Nell'episodio di oggi approfondiremo proprio questi aspetti, mostrando esempi pratici e analizzando alcuni accorgimenti utili per sviluppare trading system con maggiori probabilità di mantenere efficacia anche nel futuro. Buon ascolto e buon trading!

Backtesten voelt makkelijk. Alles gaat snel, je ziet resultaten en je hebt het idee dat je strategie werkt. Maar zodra je live gaat, verandert alles. Je wacht uren of zelfs dagen op één trade… en ineens komt er ruimte voor twijfel.En daar gaat het mis. Niet je strategie faalt, maar je mindset. Je ego begint te praten, je wijkt af van je plan of gaat juist kansen skippen. Dat is waarom de meeste traders het hier verliezen.De traders die wél winnen, doen iets simpels: ze blijven hun plan volgen. Ze snappen dat een stoploss mentale groei is en een take profit financiële groei. En dat één ding altijd klopt: een trade volgens plan is altijd vooruitgang.

As soon as modern data analysis became a thing, the US government has had to deal with people trying to use open source data to uncover its secrets. During the early Cold War days and America's hydrogen bomb testing, there was an enormous amount of speculation about how the bombs actually worked. All nuclear technology involves refinement and purification of large amounts of raw substances into chemically pure substances. Armen Alchian was an economist working at RAND and reasoned that any US company working in such raw materials and supplying the government would have made a killing leading up to the tests. After checking financial data that RAND maintained on such companies, Alchian deduced that the secret sauce in the early fusion bombs was lithium and the Lithium Corporation of America was supplying the USG. The company's stock had skyrocketed leading up to the Castle Bravo test either by way of enormous unexpected revenue gains from government contracts, or more amusingly, maybe by government insiders buying up the stock trying to make a mushroom-cloud-sized fortune with the knowledge that lithium was the key ingredient. When word of this work got out, this story naturally ends with the FBI coming [...] ---Outline:(01:27) Pizza is the new lithium(03:09) The Data(04:11) The Backtest(04:36) Fordow bombing(04:55) Maduro capture(05:15) The Houthi stuff(10:25) Coda --- First published: January 22nd, 2026 Source: https://www.lesswrong.com/posts/Li3Aw7sDLXTCcQHZM/does-pentagon-pizza-theory-work --- Narrated by TYPE III AUDIO. ---Images from the article:

In deze aflevering van de FX Minds Trading Podcast duiken Luc en Enzo in een herkenbaar probleem voor veel traders: de verslaving aan backtesten. Veel traders blijven eindeloos strategieën testen zonder ooit écht live te gaan.Ze bespreken waarom dit gebeurt, hoe je voorkomt dat je vast blijft zitten in de ‘backtest-loop' en waarom forward testen cruciaal is voordat je met echt geld gaat traden. Ook delen ze praktische tips, zoals werken met deadlines, visuele reminders, accountability partners en meerdere strategieën tegelijk in forward test laten draaien.Daarnaast leggen ze uit hoe je overfitting voorkomt, vertrouwen opbouwt in je algoritme en wanneer je klaar bent om een strategie live te zetten — bijvoorbeeld op een FTMO-account.Stop met spelen, start met verdienen. Zet je algoritme aan en laat het werken.

Vous pensez que la Sécurité sociale est gratuite ? J'ai calculé ce que vous payez réellement chaque mois, et le résultat pourrait bien vous donner envie de quitter la France. Ressources : 4:25 : « Historical performance of the MSCI World index », Backtest by Curvo, 2024 . Pour le taux actuel : https://curvo.eu/backtest/en/market-index/msci-world?currency=usd Simulateur URSSAF  Mon assurance santé privée 

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.This session dives deep into something most traders say they care about but rarely do correctly: backtesting with real data, real rules, and real expectations. Instead of slides or theory, this video walks through actual trades, actual outcomes, and the uncomfortable but necessary reality of losing streaks, winning streaks, and everything in between. It is a raw, practical look at how a rules based trading plan holds up when the market does not cooperate.The focus starts with a simple but powerful question. Why did financial sector trades perform well while energy sector trades struggled, even though the same rules were followed? Rather than guessing or blaming the market, this session breaks the problem down logically. If energy stocks are heavily influenced by oil prices, then oil itself needs to be examined. That idea leads into a detailed exploration of the USO oil ETF and how its trend impacts energy sector outcomes.What makes this discussion different is that it does not stop at a handful of examples. The analysis expands from a small sample of trades to more than 200 backtested instances. Expectancy is calculated, trends are categorized, and assumptions are challenged. The results are surprising and, for many traders, counterintuitive. In some cases, energy trades showed higher expectancy when oil was trending down, not up. That kind of insight only comes from disciplined testing, not opinions or headlines.Halfway through, the conversation opens up to real trader experiences. You hear what it feels like to sit through losses, how confidence changes when you actually trust your data, and why having a plan matters more than being right on any single trade. There is also a strong emphasis on capital efficiency, drawdowns, and matching a strategy to your personality so you can actually stick with it.Key ideas covered in this session include:✅ Why small sample sizes can completely mislead traders✅ How expectancy really works and how simple it is to calculate✅ What oil trends reveal about energy sector trades✅ Why losing streaks do not mean a plan is broken✅ How robust systems are built without overfittingThis video is not about hype, predictions, or quick wins. It is about thinking like a professional trader, using data instead of emotions, and building confidence that survives bad weeks as well as good ones. If you want to trade with less stress, more clarity, and a repeatable edge, this lesson delivers exactly that.Gain instant access to the AI-powered tools and behavioral insights top traders use to spot big moves before the crowd. Start trading smarter today

Perché prendere decisioni basate su analisi storiche è immensamente superiore all'andare a sentimento o seguire le opinioni dei "guru"? In questo episodio speciale parliamo di Backtest e dell'importanza dei dati storici negli investimenti. Scopriamo perché affidarsi alle evidenze statistiche batte l'intuizione e come i dati possono proteggerci dalle trappole emotive dei mercati. Ma soprattutto, sveliamo una grande novità: la nascita della Sezione Quant nella Membership di Investire Semplicemente. Un progetto "Glass Box" (trasparente) per costruire una libreria di strategie di investimento non correlate, testate su decenni di dati reali. In questa puntata ascolterai:

Send us a textIn this episode, we dive into the Horse Racing Backtesting Software and Website that's changing the way traders build their strategies.You'll discover:Why backtesting is essential before risking real moneyHow the software tests horse racing systems against years of dataWhat the website lets you track and refine to improve your edgeHow to save time and trade with confidence by validating your ideas firstWhether you're completely new to trading or you've been at it for years, this walkthrough will show you how to move from guesswork to data-driven decisions.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Position sizing is the secret weapon every trader needs—but few truly understand. In this video, we break down the #1 rule that separates successful traders from those who blow up their accounts. You'll see how mastering your position size can protect your capital when you're wrong and maximize your gains when you're right. This isn't about hype or luck. It's about discipline, data, and survival.We dive into the essential role of position sizing in risk management and show why it's the single most powerful tool in your trading arsenal. Too many traders focus on the perfect entry or exit, but without proper sizing, even the best strategy will fail. The pros know this is the real edge. That's why OVTLYR traders rely on the ATR method to calculate volatility for every position—ensuring that risk stays consistent across Tesla-type movers and slower names like Coca-Cola.➡️ Learn how to size positions like a pro and never blow up your account➡️ Discover why consistency in risk is the foundation of long-term success➡️ See how ATR-based sizing adapts to any stock's volatility➡️ Find out how capital efficiency multiplies returns by keeping you in high-probability setups➡️ Watch the OVTLYR community in action with live examples and real-world performanceWe also explore lessons from the book The QQQ and TQQQ ETF Profit Machine, where decades of market data prove that simple, systematic strategies can outperform Wall Street's “buy and hold” approach. The 10-20-50 moving average alignment—what we call the OVTLYR trend template—is the backbone of smart trading. When price is above the 50, the 10 is above the 20, and everything is in sync, the results are explosive. These moments don't happen often, but when they do, they create life-changing gains.This video isn't just theory—it's proof. You'll see real-time data, chart breakdowns, and OVTLYR's Plan ETF framework, showing how traders are crushing market benchmarks while taking on less risk. You'll learn about volatility drag in leveraged ETFs like TQQQ, why it matters, and how to avoid getting crushed during downtrends. You'll also see how OVTLYR's signals, value zones, and breadth indicators simplify complex analysis into clear, actionable steps.If you've ever been frustrated by inconsistent results or emotional trades, this breakdown will give you clarity and control. Position sizing is more than a tactic—it's a mindset. It's about surviving long enough to thrive. You can't control the market, but you can control how much you risk, how long you stay in the game, and how efficiently your capital works for you.So if you're serious about becoming a disciplined, data-driven trader who wins consistently, watch this video from start to finish. You'll walk away with a system that gives you structure, confidence, and an edge that never fades.

Zak's Traders Cafe sat down with Paul Mathieson, CEO of Amazing AI, to unpack a fresh take on corporate crypto exposure — a strategy Paul describes not just as "Bitcoin treasury 2.0" but as crypto treasury 3.0. After a turbulent few months for London-listed companies that rushed to add Bitcoin to their balance sheets, Paul and I discussed why the old model is breaking down and how his team plans to approach things differently: more sophisticated, more diversified, and better protected. Why the Bitcoin Treasury 1.0 model is fading Earlier this year many companies followed a simple playbook: raise equity, buy Bitcoin, and hold it on the balance sheet. That headline-friendly approach produced big share price moves in May–July, but many of those gains have since evaporated — some names are down as much as 80% from their peaks. Investors and markets reacted; hype cooled. As Paul put it, the straightforward buy-and-hold crypto treasury is "pretty simple" and increasingly seen as outdated. The problem with buy-and-hold Heavy dilution: companies raising repeatedly to buy more crypto. Binary exposure: full directional risk to a single asset like Bitcoin. Market expectation vs operational reality: investors began pricing in the flaws once the euphoria passed. Introducing Crypto Treasury 3.0: a different philosophy Paul argues Amazing AI is moving beyond the one-dimensional treasury model by combining derivatives expertise, diversification across crypto assets, active risk management, and a profitable underlying business to fund the strategy. As Paul told me: "I don't think it's just crypto treasury 2.0. I think it's actually 3.0. We are going beyond the basic to diversify... and more importantly managing the exposure, not just sitting there." — Paul MathiesonKey pillars of the approach: Derivatives-based exposure: using long-dated options and futures to gain leveraged crypto exposure while defining downside risk. Diversification: exposure spread across multiple crypto assets rather than a single-asset bet. Active management: protective hedges and re-protection on the way up to lock in gains. Revenue backing: a core U.S. lending business generating strong cash flows to fund option premiums and operations. Opportunistic M&A: potential acquisitions of failed "crypto 1.0" players to consolidate and repurpose assets. How the derivatives strategy works — plain English Paul drew on decades of funds management and investment banking experience to adopt option structures that can deliver asymmetric returns. The approach is not simply selling covered calls (income-focused), but more like a strangle strategy combined with targeted protection. Strangle-like positions: buying combinations of calls and puts to profit from large moves either up or down. The structure benefits from volatility and large directional moves. Defined downside: losses are limited to the premiums paid for options, rather than the full exposure of owning the underlying crypto outright. Leverage potential: relatively small cash outlay on options can create very large notional exposure (Paul discussed scenarios of up to 100x notional exposure in upside cases), while premium cost caps the downside. Paul emphasised that the firm is comfortable paying option premiums because Amazing AI has a core business able to generate predictable revenue. That changes the math: instead of raising equity constantly to buy more crypto, small capital raises can create sizable market exposure via derivatives. Backtest results and credibility Paul shared that he backtested his strategy over two decades and, in his words, it "never lost money" and averaged around 500% returns historically, with larger gains on upside moves. He also said the approach underpins the holdings of long-term shareholders in the company today. While past performance and backtests are not guarantees, the claim signals the firm has applied a rigorous, experience-led framework rather than relying on speculation alone. Differences from covered-call or simple buy-and-hold strategies When I asked whether the approach is similar to covered-call income strategies, Paul was clear: it's materially different. Covered calls generate income by selling upside, moderating upside participation in exchange for premiums. Amazing AI's method is designed to benefit from significant directional moves while protecting capital via paid protection. Covered call = sell upside to earn premium, capped upside. Strangle/option approach = pay premium for asymmetric exposure and defined loss, large upside potential if volatility or direction materialises. Operational advantages: less dilution, more optionality One of the practical benefits Paul highlighted is capital efficiency. Because option premiums are significantly smaller than buying the underlying outright, Amazing AI can achieve large crypto exposures from comparatively modest raises. Paul also noted he remains the major shareholder and is not interested in frequent dilution, aligning management incentives with long-term shareholders. Additional operational levers include: Using revenues from a U.S. lending arm (quoted rate: 59.9% on loans) to fund premium payments and operations. Rolling and re-protecting positions as markets move to lock in gains and manage risk. Purchasing distressed "crypto 1.0" assets or companies and converting their strategy to the new model. Risk considerations and why diversification matters Paul stressed that while he believes in crypto, prudent risk management matters. He mentioned edge-case risks — for example, quantum attacks or specific vulnerabilities in mining — as reasons to diversify beyond Bitcoin alone. The goal is to construct a portfolio where only a subset of holdings needs to perform for the strategy to succeed. In short: rather than bet everything on a single outcome (Bitcoin to infinity or to zero), the approach seeks multiple asymmetric bets and defined downside exposure. What to watch next Over the coming months investors should watch how Amazing AI implements the strategy: the mix of option structures used, the degree of leverage taken, how the company re-protects gains as markets rise, and whether opportunistic acquisitions materialise. Also worth monitoring will be capital raises and how management balances funding the strategy with shareholder dilution. Conclusion The landscape for corporate crypto treasuries has shifted. Simple buy-and-hold has shown vulnerabilities in a choppy market. Amazing AI's approach, as explained by Paul Mathieson, blends derivatives expertise, diversification, active hedging, and an operating business that helps fund premiums — an attempt to deliver asymmetric upside while capping downside. If you're interested in corporate crypto strategies or the evolving ways companies are gaining exposure to digital assets, this is a model worth watching: it's about turning raw crypto exposure into a more manageable, capital-efficient, and actively managed program. Disclaimer & Declaration of Interest: The information, investment views, and recommendations in this Zaks Traders Cafe interview are provided for general information purposes only. Nothing in this interview should be construed as a promotion or solicitation to buy or sell any financial product relating to any companies under discussion or referred to or to engage in or refrain from doing so or engage in any other transaction. Any opinions or comments are made to the best of the knowledge and belief of the commentator but no responsibility is accepted for actions based on such opinions or comments. The commentators may or may not hold investments in the companies under discussion.

Backtesting is essential—but only if you do it at the right time. In this episode, learn how to avoid wasting hours, make your backtesting efficient, and check all the boxes that actually move you forward as a trader.Register for Our Upcoming Online Trading Workshop https://training.tieronetrading.com/30-min-training-page1753450307487Your Trading Coach - Akil

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.If you've ever wondered whether simple, systematic trading strategies can really beat the Nasdaq, this video will open your eyes. Today we dive deep into proven methods from Leslie Mason's Triple Qs Profit Machine and test them against decades of real market data. The results are staggering.We're talking about strategies that delivered more than 1,000% returns while cutting risk dramatically compared to traditional buy and hold. One system using the 200-day moving average nearly doubled buy-and-hold performance while slashing maximum drawdowns from 83% down to just 28.6%. That's the power of rules-based trading, and it's exactly the kind of disciplined approach we use at OVTLYR.Inside this breakdown, you'll learn:✅ How a simple moving average strategy crushed buy and hold across 24 years of data✅ Why leveraged ETFs like TQQQ can skyrocket gains but also magnify losses✅ How seasonal strategies, like the “best eight months” approach, produced 84.9% winning years✅ The role of risk management in surviving market downturns✅ Why systematic, math-based trading beats subjective chart drawing every timeWe also take a closer look at the six complementary technical indicators Mason highlights, including moving averages, MACD, RSI, Keltner Channels, and breadth measures like the Nasdaq 100 Bullish Percent Index. The genius is in combining them into a “weight of evidence” approach where you only act when multiple indicators agree. This increases your odds of success while keeping you out of dangerous setups.What makes this discussion different is the focus on transparency and real execution. You'll see why going to cash isn't a cop-out—it's a legitimate trade that protects your portfolio. You'll hear how traders using OVTLYR are stacking the odds in their favor by following tested signals, not gut feelings or internet hype.This isn't about gambling or prediction. It's about engineering consistent, risk-adjusted returns through discipline and smart strategy. Whether you're new to systematic trading or you've been managing your own portfolio for years, these insights will sharpen your edge and give you practical tools you can apply right away.Don't miss this opportunity to discover the strategies that have consistently outperformed Wall Street's biggest names. Hit subscribe for more powerful insights, and turn on notifications so you never miss the next trading breakdown.Gain instant access to the AI-powered tools and behavioral insights top traders use to spot big moves before the crowd. Start trading smarter today

Dein Backtest sieht top aus, aber live kommt nichts bei rum? In dieser Folge decken wir auf,

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Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.What if Batman were a stock trader? Sounds crazy, right? But think about it… this dude is the king of preparation, the master of focus, and absolutely allergic to distractions. In this video, we dive deep into what The Dark Knight can teach YOU about building a bulletproof trading plan—and sticking to it.Batman doesn't get distracted by Joker's chaos or Two-Face's coin flips, and as a trader, you shouldn't be shaken by market noise, YouTube gurus, or Twitter hype. This episode is all about trading with discipline, eliminating FOMO, and mastering your edge with clarity and confidence.We cover how Batman would:✅ Craft a high-probability trading plan✅ Eliminate distractions before entering a trade✅ Backtest and paper trade like a pro✅ Avoid FOMO—even during crazy market moves✅ Use tools like the Master Key to lock into only the best setupsYou'll see how real traders, using behavioral finance tools like OVTLYR, analyze trends, breadth, and sentiment to make smarter decisions. Want to know why Batman would sit in cash for as long as it takes? Or how he'd respond to a noisy market full of false “buy the dip” signals? This is the breakdown you've been waiting for.We also rank viewer-submitted stocks LIVE using OVTLYR's behavioral heatmaps, trend overlays, and the Golden Ticket Trading Strategy. Want your stock analyzed in the next video? Drop it in the comments: [Stock Name] + [Long or Short]—and let's break it down together.Whether you're a seasoned trader or just starting out, you'll learn how to:

Das Jahresende rückt näher und damit ist es für unsere Volkswirte Zeit, ihre Prognosen abzugeben. Auch wagen sie einen Rückblick auf die letztjährig abgegebenen Prognosen.

Wie wichtig ist Backtesting wirklich im Trading und wie kann ich dieses zum besseren Trading nutzen? Optionstrader Dirk Legahn schwört auf das Backtesting und verrät, worauf es dabei ankommt, wie er es schafft, besser als das Backtesting zu sein und wie auch auf einfache Art und Weise Strategien getestet werden können.

je vous propose un podcast particulier. Je reçois Ben et Micka dont la particularité est de vivre essentiellement du trading. Dans cette conversation à trois, je leur poserai les questions que vous vous êtes posées et d'autres que vous devriez vous poser. Car cette espèce-là, Mesdames et Messieurs, est très rare, surtout quand il s'agit de spécimens sauvages et non pas de spécimens d'élevage.Ils se sont formés seuls et rien ne les prédisposait à ce métier. Ces gars sont des anomalies statistiques, l'exception qui confirme la règle… C'est un honneur de recevoir Mickael et Ben.Merci pour votre écoute ! Bénéficiez de la Formation Intégrale de Tradosaure. Retrouvez-le sur Twitter et YouTube.

Over the last 8 weeks Paul, Chris and Daryl have produced a series of podcasts and videos on 8 of the most important investment decisions investors make.  Along with these podcasts and videos Paul and Rich have written Marketwatch articles on the same topics.  As a part of the discussion of these important decisions Daryl has updated over 200 tables of hypothetical returns that are used to support the recommended conclusions. This week, Ben Carlson, one of our Truth Tellers, has written an article on the inherent weaknesses of  backtesting.  While we have taken steps to minimize the potential problems with backtesting, Paul thinks Ben's comments are worthy of consideration.  Along with his recent article, “10 Things You Can't Learn From a Backtest,” we have included links to two of Ben's past articles on the same topic.  Backtests are Unemotional.  Humans are not.Roughly Right or Precisely Wrong

The Trade Busters provides actionable ideas to take your option trading to the next level.  Through our educational podcast and instructional spreadsheets, we aim to empower the everyday retail trader.  Discover unique ways of thinking through sizing, risk and leverage in your option strategies. -View strategy mechanics, tradelogs and more at the trading page: ⁠⁠⁠https://www.thetradebusters.com⁠⁠⁠ -Follow me on Twitter @TheTradeBuster -The Trade Busters Discord server is now live!  Send me an email if you would like to join. **Everything discussed on this podcast is for informational purposes only and not to be construed as financial advice.

Steve Burns has successfully traded in the stock market for over 30 years. He has read over 400 Books about Trading and is a walking Encyclopedia when it comes to market history. He's authored over 25 Trading Books with his wife, Holly, and is one of the most influential Tweeters off Wall Street. Scott and Steve discuss: Getting to Financial Independence Navigating the Current Market How to Develop a Trading System Surviving Drawdowns Investing vs. Trading Steve Reading over 400 Trading Books! The 5 Things Every New Trader Needs to Succeed Artificial Intelligence & ChatGPT Bitcoin & Digital Assets MUCH MORE! ----------------------------------------------- This is not investment advice or an endorsement of the securities or property mentioned. Please Press FOLLOW on the platform you're consuming this on and LEAVE A 5 Star Review to help support the show. Official Website: http://www.hotwallet.ca Follow Scott on Twitter: http://www.twitter.com/scottrades Send me some SATS on Fountain.fm: https://fountain.fm/hotwallet?code=645358d750 ----------------------------------------------- Follow Steve on Twitter: https://twitter.com/SJosephBurns New Trader U: https://www.newtraderu.com/ Get New Trader Rich Trader on Amazon (Canada): https://a.co/d/03Mqd9d Get New Trader Rich Trader on Amazon (USA): https://a.co/d/cvJpD3A ----------------------------------------------- 0:00 Intro 0:48 Steve's Beginning  2:05 Current Market Conditions 3:28 Current Trading System 4:26 Backtest a Trading System 6:28 Trader vs. Investor 8:13 Removing Bias 8:57 Surviving a Drawdown 11:25 Creating a Trading Plan 13:29 After-Hours Preparation 14:50 Reading over 400 Trading Books 15:47 Connecting with Trading Authors 17:03 Learning from Legendary Investors  17:49 Favorite Trading Books 20:45 Deciding on What to do 21:12: Writing  23:05 New Trader Rich Trader 25:16 Hearing about a Blowup 27:20 Advice for Starting at Zero 29:09 5 Things Every Trader Needs 31:40 Trading Resources  34:28 Path to Financial Independence.  36:19 Setting Goals 38:24 Bitcoin & Crypto 39:44 AI and ChatGPT 42:09 Social Media & Elon Learn more about your ad choices. Visit megaphone.fm/adchoices

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Monte-Carlo-optimierte Portfolios in Grün: In diesem Geldgespräch habe ich eine ebenso naturverliebte wie passionierte Risikomanagerin zu Gast. Sie ist diplomierte Mathematikerin sowie promovierte Informatikerin und hatte zunächst mit Geld und Finanzen wenig am Hut. Das änderte sich erst nach dem Studium signifikant. Unzufrieden mit den gängigen Angeboten hat sie zusammen mit einer Mitstreiterin ihr eigenes, modell- und computerbasiertes Finanzprodukt mit Nachhaltigkeitsanspruch kreiert und gemeinsam in das Startup Goldmarie Finanzen eingebracht. Damit ergeben sich reichlich Ansatzpunkte, die es zu besprechen lohnt. Die Optimierung von Rendite und Risiko ist seit jeher der heilige Gral der Kapitalanlage. Eine Berücksichtigung sozialer und ökologischer Kriterien hat sich in jüngerer Zeit bei einer größer werdenden Investorenschar hinzugesellt. Beide Aspekte berücksichtigt das zweistufige Prozedere der von Jennifer Rasch und ihrer Geschäftspartnerin Caroline Löbhard entwickelten Software, welche anhand besagter Vorgaben auf mathematisch-statistischer Basis optimale Portfolios zusammenstellt. Kennengelernt habe ich meine Gesprächspartnerin auf der Invest 2022 in Stuttgart, wo Jennifer Rasch gegenüber der Bloggerlounge am Stand von Wikifolio einen Vortrag zu ihrem Investitionsansatz gehalten hat. Besonders interessant fand ich die Herangehensweise, die Zusammenstellung eines Portfolios als nichtlineares Optimierungsproblem zu begreifen und unter Zuhilfenahme von Monte-Carlo-Simulationen näherungsweise zu lösen – ein Thema, mit dem ich mich im Rahmen meiner Diplomarbeit intensiv auseinandergesetzt habe. Von daher lag es auf der Hand, das zugrundeliegende Modell auszuloten. Dementsprechend umfasst das Interview zwei Teile. Zunächst besprechen wir mit der Vorauswahl anhand des hohe Standards setzenden ökologisch-sozialen Kriterienkatalogs die höchst subjektive Komponente. Danach tauchen wir als Kontrastprogramm in die emotionslose Welt des maschinellen Lernens sowie der Evaluation mittels Backtesting ein. Der Sponsor dieser Podcast-Folge ist LYNX Broker. Anleger, die Wert auf ein kostenloses Wertpapierdepot, günstige und transparente Gebühren und Zugang zu mehr als 100 Börsen weltweit legen, sind hier gut aufgehoben.

In this episode we answer emails from Jamie, Chris and The Dude (Alexi).  We give do some listener appreciation and talk about The Dude's proposed volatility-related allocation.And THEN we our go through our weekly and monthly portfolio reviews of the seven sample portfolios you can find at Portfolios | Risk Parity Radio.  And we also invite you to an event at the Father McKenna Center in Washington, DC -- Lessons and Carols on December 8 at 7 pm.Additional links:Father McKenna Center Lessons and Carols:  Lessons and Carols - Father McKenna CenterJamie's Article re Luck and Success:  Winning a Nobel Prize Takes Luck as Much as Talent - WSJThe Dude's Proposed Volatility Allocation:  7% CCOR, 5% YCS, 5% EUO and 3% VIXM (20% overall allocation).CCOR fund page:  CCOR ETF | Core Alt Capital (corealtfunds.com)Correlation Matrix with Alexi's Funds and BTAL:  Asset Correlations (portfoliovisualizer.com)Backtest using Alexi's volatility allocations:  Backtest Portfolio Asset Allocation (portfoliovisualizer.com)Support the show

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Kurzfristige Optionsstrategien: In diesem Geldgespräch darf ich erneut einen Wiederholungstäter begrüßen. Im April dieses Jahres haben wir uns über Optionen im Allgemeinen und einfache, automatisierte, index- und regelbasierte Strategien unterhalten. Heute möchte ich mit Andreas Martens von EinfachOptionen darüber diskutieren, ob damit im bisherigen Jahresverlauf zumindest ein Blumentopf zu gewinnen war, warum Handelspausen wichtig sind und welche Handelsansätze in jeder Marktlage funktionieren können. Kennengelernt habe ich Andreas Martens über einen gemeinsamen Freund. Infolgedessen und aufgrund ähnlicher Ansätze bin ich mit ihm ausführlich die Handelsstrategien von EinfachOptionen durchgegangen, habe einige Bestandteile davon selbst übernommen und zahlreiche weiterführende Ideen mit ihm diskutiert. Nun hat das laufende Jahr einige Herausforderungen für Optionshändler im Allgemeinen und Stillhalter im Speziellen bereitgehalten. Hierzu haben vor allem einige Negativrekorde beigetragen. Auf diese sind wir in unserem Gespräch genauso eingegangen wie auf Kurzfriststrategien, die sich zumindest in den vergangenen Monaten gut geschlagen haben.

Backtest or breakdown…We'll discuss all the details including a variety of charts and markets.The analysis found in these videos is appropriate for both beginning Traders and experienced Traders alike.We look at only technical analysis using charts from various time frames using various vehicles. We use only the Candlestick charts and moving averages to determine our next best case scenario. Hosted on Acast. See acast.com/privacy for more information.

In this episode we return from vacation ready to rumble and answer emails from Peter, David, MyContactInfo (x2) and Mark.   We appreciate our listeners and then annoy them (I've got an angle), talk about ESG investing and why you want to have both growth and value funds and talk about buy-write funds in general and JEPI in particular.Links:Risk Parity Chronicles Resources:  Resources - Risk Parity ChroniclesESG Article One:  Shades of Green - HumbleDollarESG Article Two:  Musings on Markets: ESG's Russia Test: Trial by Fire or Crash and Burn? (aswathdamodaran.blogspot.com)Backtest of 50/50 Value/Growth vs. Total Market:  Backtest Portfolio Asset Class Allocation (portfoliovisualizer.com)Asset Correlation Matric for JEPI:  Asset Correlations (portfoliovisualizer.com)Support the show

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Jordan discusses what we're digging into as we backtest our sliders, including potentially rethinking the dropdown options and dropdown buckets for different contests. DFS Office Hours is hosted live by SaberSim Monday-Friday at 2pm ET to answer your questions on daily fantasy sports, sports betting, and more. We'll cover everything you need to know to improve your DFS process and build winning lineups fast on DraftKings, FanDuel, and Yahoo for NFL, NBA, MLB, PGA, MMA, and more. Watch on YouTube: https://www.youtube.com/watch?v=05vueDK-KZ0&t=3s 00:00 Intro4:12 Is SaberSim doing any work on the default options for the sliders?8:22 Contest Selection Research Sheet Link9:30 How many entries should you play in a given contest?13:33 How do I get more variation in my lineups across any sport/contest type?18:02 How are min and max exposures handled when running a late swap build that only includes out players?20:25 How to add value to the SaberSim process42:50 The difference between unique random fill and unique rank fill49:16 0/0/0 and 0/0/10 build51:12 R^2 and Saber Score and Lineup Score Head over to the #office-hours channel in our Slack group to get the link and catch these shows live. Not in Slack? Sign-up here: https://bit.ly/3cGr2c4 Start Your Free 7-Day Trial of SaberSim Now: https://www.sabersim.com/Follow us on Twitter: https://twitter.com/sabersim

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Do you use Free Cash Flow in your investing process? Maybe you should, today I want to show you the power of free cash flow when applied to stock selection. More specifically I'll be talking about the price to free cash flow ratio that measures the multiple you pay when purchasing a stock in relation to how much free cash flow the underlying business produces. We'll be looking at a long term study that proved this metric can lead to extraordinary results and I'll also break down why the price to free cash flow multiple makes sense as a valuation technique. I hope you enjoy! This episode was originally broadcast on my YouTube channel if you'd prefer to consume the content in video format you can use the link below https://youtu.be/K3VI4AoiZUg M1 Finance referral link: https://m1.finance/UNbCUpuP36lm Here is a link to my YouTube channel if you'd like to see more content from me https://www.youtube.com/c/LongacresFinance And a link to my Patreon page if you feel inclined to support the channel https://www.patreon.com/LongacresFinance Study link: https://static1.squarespace.com/static/559b2c83e4b04f5223761da4/t/57c89802b8a79b70d0bde3c7/1472763917836/Backtest+of+Dow+30+Index1950-2009.pdf Disclaimer: This is intended for entertainment purposes only and should not be taken as investment advice.

Backtesting is such a valuable activity as a trader and it goes way beyond just looking for potentially profitable trading strategies. In this podcast, I share 8 benefits and reasons why backtesting is something every trader should do on a regular basis.   ################ My trading course bundle: ► https://ultimatepriceaction.com/   Edgewonk trading journal: ► https://www.edgewonk.com  *** use discount code: tradeciety ***   ################   ► Risk Disclaimer: https://www.tradeciety.com/risk-disclaimer/  Disclaimer: The experience reports and comments constitute the personal experiences of our users. These are individual results that do not permit conclusions to be drawn about future developments. In particular, we make no claim that these are typical results that can be achieved by our users on a regular basis. Tradeciety can neither predict nor guarantee the occurrence of certain developments or the achievement of profits nor will it do so. Results may not be typical and may vary from person to person. There are inherent risks involved with investing and trading, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk.     Connect with me My website: https://tradeciety.com/ My YouTube channel: https://www.youtube.com/tradeciety

How reliable are results from backtesting option strategies? This is important to know, because if they are reliable we can use them in our everyday trading. We find that the backtests are reliable through comparing results from 2005-2021 to the past two years.

How reliable are results from backtesting option strategies? This is important to know, because if they are reliable we can use them in our everyday trading. We find that the backtests are reliable through comparing results from 2005-2021 to the past two years.

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Wir sprechen wieder gemeinsam über 12 #Dividenden die jetzt in naher Zukunft ausgezahlt werden. Dazu gibt es wie immer unsere Themen der Woche, die Investmentidee sowie unsere Tops & Flops. Viel Spaß wünscht euch Modern Value Investing. #podcast ❌Werbepartner der Woche TopCashback! Jetzt kostenlos anmelden und 10,00 € Anmeldebonus sichern - https://bit.ly/topcashbackmvi Die Monkey-Trades im Backtest - https://modernvalueinvesting.de/wp-content/uploads/2022/04/Aktien-Backtest.xlsx Fundamental-Check - https://youtu.be/H97qZF5lD6Q

Optionen einfach handeln: Mein heutiger Gast im Geldgespräch ist ein Mann aus der klassischen Finanzbranche. Deswegen habe ich ihn allerdings nicht vor das Mikrofon geholt, sondern aufgrund seiner Leidenschaft für den Terminmarkt in Kombination mit automatisierten und pflegeleichten Handelsstrategien – ganz im Einklang mit dem altgedienten militärischen Motto: Nur das Einfache hat Erfolg! Kennengelernt haben ich Andreas Martens über einen gemeinsamen Freund. Infolgedessen und aufgrund ähnlicher Ansätze habe ich mich ausführlich in die wichtigsten Handelsstrategien von EinfachOptionen einweisen lassen, einige Bestandteile davon übernommen und zahlreiche weiterführende Ideen mit ihm diskutiert. Das ausführlichen Backtests unterworfene und seit Jahren von Andreas Marten selbst angewandte, robuste Regelwerk hebt sich wohltuend von den oft marktschreierisch beworbenen komplexen und/oder riskanten Strategien ab – und verdient es daher, einem breiteren Publikum bekannt gemacht zu werden. Der Sponsor dieser Podcast-Folge ist LYNX Broker. Anleger, die Wert auf ein kostenloses Wertpapierdepot, günstige und transparente Gebühren und Zugang zu mehr als 100 Börsen weltweit legen, sind hier gut aufgehoben.

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Handelsstrategien im Backtest: Im heutigen Interview geht es in gänzlich andere Börsensphären als diejenigen, in denen wir uns sonst an dieser Stelle typischerweise bewegen. Bei mir im Geldgespräch ist ein Mann zu Gast, der den Traum zahlloser FIRE-Enthusiasten lebt – bereits seit 2009 finanziert Thomas Vittner seinen Lebensunterhalt durch die Börse. Allerdings nicht via Buy-and-Hold und Dividenden, sondern durch Trading auf Basis der quantitativen Analyse. Thomas Vittner ist in der Versicherungsbranche groß geworden und seit über 20 Jahren an der Börse aktiv. Sein Fachgebiet ist die quantitative Analyse von Aktien und Portfolios. Darüber hinaus ist er Gründer eines Robo-Advisors, Betreiber einer Finanzakademie sowie Autor und Vortragsredner. Persönlich kennengelernt haben wir uns erst kürzlich und uns dabei selbstverständlich über unsere unterschiedlichen Investitionsansätze unterhalten. Da auch im Bereich der Kapitalanlage offensichtlich viele Wege nach Rom führen und ich bisweilen gerne über den Tellerrand schaue, habe ich Thomas Vittner eingeladen, seinen Ansatz vorzustellen! Der Sponsor dieser Podcast-Folge ist LYNX Broker. Anleger, die Wert auf ein kostenloses Wertpapierdepot, günstige und transparente Gebühren und Zugang zu mehr als 100 Börsen weltweit legen, sind hier gut aufgehoben.

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Click here to register for my FREE Masterclass: https://autc.pro/TSSeng-pod?sl=POD-48464030

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Más contenido gratuito en https://psicologiaytrading.es Saber cómo realizar un backtest e implementarlo nos hará mejorar nuestra operativa. ¿Sabes que puntos tienes que trabajar? Descúbrelo en el podcast! Os dejo algunos enlaces donde me podéis encontrar: Curso de Trading: https://psicologiaytrading.es/curso-de-trading Curso de Criptomonedas: https://psicologiaytrading.es/curso-de-criptomonedas Mentorías Personalizadas: https://psicologiaytrading.es/mentoring-para-traders Club de Traders: https://psicologiaytrading.es/club-de-traders Canal de Youtube: https://youtube.com/c/psicologiaytrading Investing.com: https://es.investing.com/members/contributors/200281690 Instagram: https://instagram.com/psicologiaytrading Facebook: https://www.facebook.com/psicologiaytrading.es Twitter: https://twitter.com/psicoytrading ¡... y en las principales plataformas de podcasts! ¡Nos vemos en los mercados!

Backtesting is the most under-utilized secret weapon in trading. It's not a secret because successful traders don't want you to know about it. All great trading mentors will tell you about backtesting. It's a secret because most traders don't want to know about it. It's not glamorous. It's not sexy. Many people find it to be boring, monotonous, difficult, and worst of all, pointless. They've been led to believe that backtesting doesn't work or isn't worthwhile, so they don't bother with it, or they do a poor job of it. But I disagree with that attitude completely. In today's episode I explain why. Zen & The Art of Trading: Courses & Free Content! Episode Links & Resources: Original Article + Spreadsheets My Favorite Trading Podcasts