Podcasts about backtest

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 As Paul put it, the straightforward buy-and-hold crypto treasury is "pretty simple" and increasingly seen as outdated.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.

Wed, 24 Jan 2024 12:20:00 +0000 https://jungeanleger.podigee.io/1293-wiener-borse-party-573-at-s-bawag-und-facc-gefallen-palfinger-uberzeugt-im-backtest-denizbank-und-live-blick-neu 7ea696d6767acb967866c612526a15f1 Die Wiener Börse Party (556 Folgen lang hiess es Wiener Börse Plausch) ist ein Podcastprojekt für Audio-CD.at von Christian Drastil Comm... Unter dem Motto „Market & Me“ berichtet Christian Drastil über das Tagesgeschehen an der Wiener Börse. In der Folge #573 geht es um - ein schönes Tagesplus am Vormittag - Gewinner und Verlierer - AT&S eröffnet in Malaysia - 9000 Tage Börse-Palfinger mit starken Facts - Auszeichnungen für die DenizBank - Verbund und Wienerberger treten Energy-Sharing-Plattform bei - Research von der Baader Bank bzw Buys für AT&S, Bawag, FACC - heute 1. Tag des Live-Blicks von CD im deutschen Börsenradio, ab sofort intraday mit Kurslisten, Statistiken und News aus Frankurt und Wien ... weiter gehts im Podcast Mein 1. Live-Blick live in D: https://audio-cd.at/page/podcast/5256/ - Playlist 30x30 Finanzwissen pur für Österreich auf Spotify: https://open.spotify.com/playlist/3MfSMoCXAJMdQGwjpjgmLm - Stockpicking Österreich: https://www.wikifolio.com/de/at/w/wfdrastil1? - "40x DAX und bis zu 40x Österreich", die tägliche Podcastshow im deutschen Börsenradio ab 2024. Welche Österreicher dabei sind: https://www.photaq.com/page/index/4123 - Info-Podcast dazu hören: https://www.audio-cd.at/page/podcast/4868/  - Playlist 30x30 Finanzwissen pur für Österreich auf Spotify: https://open.spotify.com/playlist/3MfSMoCXAJMdQGwjpjgmLm - Stockpicking Österreich: https://www.wikifolio.com/de/at/w/wfdrastil1? ATX aktuell: https://www.wienerborse.at/indizes/aktuelle-indexwerte/preise-mitglieder/??ISIN=AT0000999982&ID_NOTATION=92866&cHash=49b7ab71e783b5ef2864ad3c8a5cdbc1 Die 2024er-Folgen vom Wiener Börse Plausch (Co-verantwortlich Script: Christine Petzwinkler) sind präsentiert von Wienerberger, CEO Heimo Scheuch hat sich ebenfalls unter die Podcaster gemischt: https://open.spotify.com/show/5D4Gz8bpAYNAI6tg7H695E  . Co-Presenter im Jänner ist der Verbund https://www.verbund.com . Der Theme-Song wurde seinerzeit spontan von der Rosinger Group supportet: Sound & Lyrics unter http://www.audio-cd.at/page/podcast/2734 . Mehr Wiener Börse Pläusche: https://www.audio-cd.at/wienerboerseplausch  . Risikohinweis: Die hier veröffentlichten Gedanken sind weder als Empfehlung noch als ein Angebot oder eine Aufforderung zum An- oder Verkauf von Finanzinstrumenten zu verstehen und sollen auch nicht so verstanden werden. Sie stellen lediglich die persönliche Meinung der Podcastmacher dar. Der Handel mit Finanzprodukten unterliegt einem Risiko. Sie können Ihr eingesetztes Kapital verlieren. Und: Bewertungen bei Apple (oder auch Spotify) machen mir Freude: https://podcasts.apple.com/at/podcast/audio-cd-at-indie-podcasts-wiener-boerse-sport-musik-und-mehr/id1484919130 . 1293 full no Christian Drastil Comm.

Tino est une valeur sûre de l'analyse technique et du trading en France.  Rigoureux, tenace, imaginatif, créatif et passionné par le partage... Dans cet entretien avec Tradosaure, il explique pourquoi il s'est spécialisé dans le swing trading.  Il s'exprime aussi sur son intérêt pour la moyenne mobile à 10 jours, sur le backtesting, ou encore dans la manière de trader les actions à la hausse dans un marché baissier...Merci pour votre écoute ! Bénéficiez de la Formation Intégrale de Tradosaure. Retrouvez-le sur Twitter et YouTube.

Join us for this insight-rich conversation with Michael Robbins, a distinguished figure in quantitative asset management. He is an author, thought leader, Professor of Graduate Studies in Quantitative Investing at Columbia University, and a sitting CIO. Our conversation focuses on quantitative trading, asset management, and financial modeling. Michael's recently published book, "Quantitative Asset Management," offers insights into the complexities and nuances of quantitative strategies. We delve deep into the intricacies of Global Tactical Asset Allocation (GTA) and explore the nuances of quantitative investment strategies.HIGHLIGHTSUnderstanding GTAA: We start by defining Global Tactical Asset Allocation and discussing effective approaches and potential pitfalls in employing this strategy.[04:18] - Adam Butler discusses the unique challenges and advantages small investors face compared to large investors, emphasizing the benefit of portfolio agility for smaller investors.Investment Strategy Insights: Michael Robbins shares his expertise on various aspects of investment strategies, including the importance of a fund's management team, the significance of qualitative factors, and the role of an advisor in making informed investment decisions.Quantitative Strategies: We explore the realm of quantitative strategies, discussing hyperparameters, the impact of biases, and the importance of defining investment goals.The Role of Machine Learning: Delve into the use of machine learning in finance, understanding overfitting, and the challenges of translating complex financial data into actionable strategies.[24:20] - Pierre Daillie and Michael Robbins explore the concept of overfitting in algorithmic strategies and the skepticism surrounding backtesting, highlighting the importance of a solid theoretical foundation behind investment strategies.[34:47] - The conversation shifts to the importance of qualitative factors in investment, such as the management team's experience and the terms of investment, which are crucial alongside performance metrics.[26:58] - Michael Robbins emphasizes the need to eliminate luck and human bias from systematic investment programs, advocating for a more quantitative and systematic approach to investing.[42:08] - Michael Robbins and Pierre Daillie discuss the often overlooked aspect of the personality and charisma of analytical experts in investment management, and how it affects investment decisions.Practical Advice for Investors: Gain insights on what investors should look for in funds, the importance of diversification, and how to avoid common mistakes in quantitative investing.[1:01:56] - The article concludes with a discussion on expanding investment horizons and differentiating oneself as an advisor by exploring unique investment strategies, as suggested by Michael Robbins.*****

In diesem Video möchte ich mal auf etwas hinweisen, was vielleicht vielen Menschen gar nicht auffällt. Es handelt sich ein Problem mit Datenqualität. Wenn man sich anschaut, dass wir hier jeweils eine Kerze pro Tag sehen, dann wundert man sich eventuell, denn in den Einstellungen haben wir eigentlich definiert, dass wir das Ein-Stunden Chart traden wollten. Wenn man diese Test Sequenz kurz anhält und mit der Maus über eine Kerze geht, dann sieht man, dass die Werte für alle diese Kerzen hier für jeweils null Uhr eines bestimmten Tages erstellt werden. Darum sieht man hier unten auf der Skala auch August, September, Oktober und November, obwohl das hier vielleicht gerade mal 150 Kerzen sind. Man fragt sich also, was geht hier vor? Und wenn wir den Test hier mal stoppen, den visuellen Modus ausschalten und den Test erneut starten, dann bekommen wir hier in der Anzeige auf dem Reiter für den BackTest angezeigt, dass wir eine historische Qualität von 0% haben. Auf Deutsch gesagt, wir haben für das ganze Jahr gerade mal 260 Kerzen. Die Daten sind korrupt. Wiederholen wir den ganzen Test mal für den Euro US Dollar, dann sehen wir hier, dass die Kerzen jeweils für die jeweilige Stunde angezeigt werden. Falls Sie also schlechte Ergebnisse haben, kann das durchaus damit zusammenhängen, dass die Qualität Ihrer historischen Daten schlecht ist. Wenn ich das hier mal stoppe und wir den visuellen Modus ausschalten und den Test erneut starten, dann sollten wir hier gleich ein Ergebnis bekommen. Und diesmal zeigt uns unser Ergebnis eine historische Datenqualität von 99 Prozent. Achten Sie also darauf, dass Sie vor allen Dingen, wenn Sie schlechte Ergebnisse haben, immer mal die Qualität der historischen Daten überprüfen. Man kann alle heruntergeladenen historischen Daten auch löschen. Wie das geht, zeige ich in einem anderen Video. Ich nutze dafür unter Windows immer die Software WinDirStat. Die zeigt mir Verzeichnisgrößen an und erlaubt mir auch direkt von da aus in den Explorer zu gehen. Das war's für dieses Video. Ich sage vielen Dank fürs Zuschauen und wir sehen uns dann im nächsten Video. Nicht sicher was Sie tun sollen? Klicken Sie auf den automatischen Trading Assistenten unten MQL5 Tutorial Deutsch - Mangelhafte Qualität historischer… MQL5 Tutorial Deutsch - Simple Schlusskurs-Berechnung in… MQL5 TUTORIAL DEUTSCH - SIMPLER ONBALANCE EA MQL5 TUTORIAL DEUTSCH - SIMPLER ICHIMOKU KINKO HYO MQL5 TUTORIAL DEUTSCH - BESSER...

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.

I nostri due Consulenti Finanziari Indipendenti Alberto e Manuel ci fanno scoprire un interessante strumento utile per valutare in autonomia l'andamento dei propri investimenti.

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

  In this video we are going to create an entry module for this little indicator here. It is called the adaptive moving average and you can use this entry signal to get buy and sell signals for the Platin system. So let’s find out how to do that. To change the entry signal for your Platin system, please open the main file and search for this part where it says include. Here we have check entry modules and if I want to change the module for the entry signal, I just need to outcomment the old one, like this, and enable the new one which is the Check Entry Advanced Ma module.   Here is what’s inside of the Check Entry CCI module that comes with the system. Now I can say that I want to save it as… And save it as Checkentry Advanced MA.mq5 in the same folder as the Checkentry CCI module is located. I have done that before, so I don’t want to do it right now. And here is what is inside of the module. By the way, you can create your own system and use it in your system – or in the robot trading system it’s also possible to use this entry. We start by using MQL rates to create a price info array. Afterwards we use array set as series for the price array we just created to sort it from the current candle downwards. Now we want to fill our array by using copy rates for the current symbol on the chart and the currently selected period on that chart. Starting from candle zero for 30 candles. That’s probably a little bit too much.   So let’s say we do it for three candles. And I would like to use the more current notation here. The next step is to create a string variable for the signal. And we also need to create a second array for the prices. Now comes the interesting part. We create an adaptive moving average definition by using the IAMA function that comes with MQL5. For the current symbol on the chart and the currently selected period on that chart. Here we have three parameters. And if you point your mouse on the adaptive moving average signal line here, you will see the parameters 9,2 and 500.   And if you click on insert, indicators, trend, adaptive moving average, you will see that these are the standard parameters. The period is nine, the fast EMA is two. The slow EMA is 30. So let’s change that to 30 here, because when we cut the last part and hit the comma key on the keyboard, we will see that this parameter here is for the slow EMA period. And that’s actually 30. But you can use whatever you like. I prefer to go with the standard parameters.   Now let’s continue. By using array set as series we are going to sort our price array from the current candle downwards. And now we can use copy buffer for the adaptive moving average definition that we have created here to fill our array for the first buffer. That’s the indicator line. Starting from candle zero for three candles and store the result in our price array. And now we can calculate the current adaptive moving average value by using normalize double and six digits, because the value is shown with six digits behind the dot. And we want to look at the value for candle zero in our price array and assign the result to this variable here.   That makes it possible to now calculate if we have a buy or a sell signal. Because if the adaptive moving average value is bigger than the close price for candle zero in our price info array, that would mean we have a buy signal. And that’s when we assign buy to our signal. Otherwise, if the adaptive moving average value is below the close price for candle zero in our price info array, that’s a sell signal. And that’s when we assign the word sell to our signal. Finally, we want to return the signal to our main module. Now please save the module that we have created, enable it here in the main module. And now we need to recompile that.   So please click on Compile in the toolbar or press F7. That should work without any errors here. And if that is the case you can click the little button here or press F4 to go back to the Platin System. If you don’t see the Strategy tester panel here, you can click on View, Strategy Tester. Or press Control and R. In this case, I’m going to pick the free Platin Demo System which will only work with original MetaQuotes demo accounts.   We will trade the Euro US dollar on the one hour chart, let’s say for the whole year 2021. Now I click on Inputs and set all parameters to the default values here. You can mark the visible mode and click on Start. And now you should see this little red line here. It produces buy and sell signals which are filtered by the long term trend here.   But you can see that the system is working. Now let’s close that part. Disable the visible mode here, click on Start and on the graph tab you should see that the system is producing results. Here we have a drawdown. And it looks like we could get a second one here. But now it recovered. And this is the result with the standard settings. You can click on Backtest to see all the details. So in this case it worked. It’s probably not the best choice for the Platin system. I prefer the Commodity Channel Index. But you can check out yourself. A free demo version is available, because I only sell the system to long term customers who have Not sure what to do? Click on the automated trading assistant below MQL5 TUTORIAL - PLATIN SYSTEM - WILLIAMS PERCENT RANGE ENTRY… MQL5 TUTORIAL - 131 STANDALONE EMA MACD EXPERT ADVISOR MQL5TUTORIAL - HOW TO GET ADVANCED STATISTICS FOR 3 LIVE… MQL5 TUTORIAL ENGLISH - HOW TO PROFIT FROM A TREND CHANGE MQL5 TUTORIAL BASICS - 128 SIMPLE LONG TERM TREND The post MQL5 TUTORIAL – PLATIN SYSTEM – ADVANCED MOVING AVERAGE ENTRY appeared first on MQL5 Tutorial.

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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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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.

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

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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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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