Podcasts about Backtesting

Die Wheel-Strategie steht in fast jedem Coaching-Angebot ganz vorne: Cash Secured Put verkaufen, Aktie übernehmen, Covered Call schreiben, wiederholen. In dieser Folge fragen wir nicht, ob sie funktioniert, sondern warum sie so auffällig oft verkauft wird. Sie lässt sich ohne Margin, ohne Griechen und ohne implizite Volatilität erklären — wer nur sie unterrichten kann, unterrichtet sie nicht aus Überzeugung. Dazu kommen regelmäßiges Einkommen als Versprechen, vergessene Steuern und das stärkste Argument von allen: Man macht ja nie Verluste. Am Ende die Frage, die uns selbst trifft: Wir handeln Puts und Calls doch auch — wo verläuft die Grenze? Euer AlexUnser Podcast wird unterstützt durch CapTrader: https://www.captrader.com/

Cam, JJ, and Vatsal break down why emotional trading is actually a symptom of poor preparation, improper risk sizing, and lack of execution rather than a broken mindset. Full episode + show notes: https://tradingnut.com/33/ Key moments - Emotions are feedback, not your enemy. Trying to eliminate them is impossible; instead, understand what they are telling you about your process [01:49]. - Confidence comes from preparation, not positive thinking. Backtesting and repetition build the muscle memory needed to reduce uncertainty [04:36]. - Risk is often the real psychological problem. If every candle feels threatening, your position size is likely too large [06:47]. - Genuine confidence is earned through evidence and keeping promises to yourself, not motivation [10:37]. - Stop labeling yourself as having a psychological issue. Get to the root cause of your emotions, which is often a fear of stepping out of your comfort zone [15:02]. - Placing a stop loss is not the same as mentally accepting the risk. You must be truly willing to lose that money to trade without emotional suffering [20:38]. - Reading psychology books improves awareness, but awareness alone does not change behavior. Real improvement requires live practice and disciplined execution [23:36]. - Journaling is a must for any serious trader. It acts as a historical record of your growth and highlights your structural strengths and weaknesses [30:18]. Watch: https://www.youtube.com/watch?v=M0ftvUL1WrM --- Sponsors BlackBull Markets - 100% deposit bonus & free TradingView. NZ-regulated broker. https://tradingnut.com/go/blackbull/ FTMO - Buy a challenge and we'll help you pass it. https://tradingnut.com/go/ftmo/ --- More from Trading Nut Strategy Vault - Free guest setups organised by method. https://tradingnut.com/go/vault/ TraderZen - Free trade control & mindset app for active traders. https://tradingnut.com/go/traderzen/ Dynamic Traders Club - Free 7-minute rule strategy — mechanical intraday setup. https://tradingnut.com/go/dtc/ --- Educational only - not financial advice. Risk: https://tradingnut.com/disclaimers/ Some links are affiliate partnerships.

„Wer 0DTE-Strategien handelt, macht nur die Broker reich" – ein Kommentar unter einem unserer Videos, dem sich Alex in dieser Folge stellt. Es geht um Delta 10 gegen at-the-money bei hoher Vola, um die Frage, ob der Optionsbrief in Wahrheit ein Signaldienst ist, um Nassim Talebs Warnung vor Prämien einsammeln vor der Dampfwalze und um CapTrader als bloßen IB-Reseller. Auch die Börsenampel, der vorgeworfen wird, nur den Index und nicht den echten Markt zu messen, kommt zur Sprache – ebenso wie die Frage, wo Alex sich selbst schon widerrufen musste. Unser Podcast wird unterstützt durch CapTrader: ⁠https://www.captrader.com/⁠   

Delta, Gamma, Vega und Theta kennt jeder Optionshändler. Was bei starker Volatilität wirklich mit den Positionen eines Stillhalters passiert, erklären sie nur zur Hälfte. Alex spricht über Vanna und Volga – die Optionsgriechen zweiter Ordnung. Es geht darum, warum sich das Delta einer Position verschiebt, obwohl sich der Kurs nicht bewegt hat, und warum gerade weit aus dem Geld liegende Short Puts bei einem Vola-Spike deutlich empfindlicher reagieren, als ihr Vega vermuten lässt. Im Zentrum: die Frage, die jeden Delta-10-Stillhalter betrifft – wie viel Risiko in einer Position steckt, die auf dem Papier klein aussieht, und wann der Verkauf weit entfernter Puts zur Falle wird. Unser Podcast wird unterstützt durch CapTrader: ⁠https://www.captrader.com/⁠   

In dieser Folge erkläre ich, warum ich für den nächsten Börsencrash Schiesspulver bereit halte. Ich erzähle dir, wie ich mit punktuellem Nachkaufen neben meinem Sparplan strategisch mehr Anteile akkumuliere. Dabei nutze ich einen finanziellen Puffer, um bei Kursrückgängen gezielt zu investieren. Zudem spreche ich über die Bedeutung von Backtesting und verschiedene Herangehensweisen bei der Sparquote.

In this episode, Kyle sits down with Cam to break down another piece of his trading system: the RSI strategy.Unlike Gap and Go, which is built around momentum and breakouts, this setup is a mean-reversion strategy. The idea is simple: find strong stocks that are temporarily oversold, then look for the bounce.Cam walks through how he uses a two-period RSI, why he looks for signals below 10, and how he exits once RSI recovers. He also explains why this works better on large-cap, institutionally supported names (especially Nasdaq 100 stocks) and why it falls apart when applied to smaller, lower-quality names.The conversation also covers how RSI fits into a broader portfolio of strategies alongside Gap and Go, Close/Open, and Opening Range Break. Cam explains why diversifying by strategy can create a smoother equity curve, keep capital working in different market conditions, and reduce reliance on any single setup.They also get into the practical side: how to size the trade, why earnings create the biggest tail risk, whether stop losses help or hurt, how options can be used to define risk, what delta and expiration ranges make sense, and why selling puts may be another way to express the same idea.This episode is a deeper look at building a full trading system... Not just finding one setup but stacking strategies that complement each other.Chapter Timestamps:00:00 — Why Diversifying Strategies Matters00:49 — RSI Strategy Overview and Where the Signal Comes From03:22 — Close/Open, Overnight Returns, and Unused Capital05:17 — Applying RSI to Individual Stocks06:30 — Entry and Exit Rules for the RSI Setup07:35 — Why RSI Works Better on Large-Cap Names09:27 — Filters: Nasdaq 100, 200-Day Strength, and Moving Averages10:40 — Strategy Diversification: Gap and Go, Close/Open, and RSI13:19 — Choosing Between RSI and Gap and Go15:24 — Managing Risk Without Traditional Stop Losses18:31 — Coca-Cola Example: RSI Signal, Options, and Rolling Winners20:10 — Using Options to Define Risk24:06 — Volatility, IV Crush, and Selling Puts27:12 — Backtesting, Survivorship Bias, and AI29:15 — Sizing Correctly, Avoiding Earnings, and Final RulesSponsors:Our podcast is sponsored by Sue Maki at Fairway Independent Mortgage (MLS# 206048). Licensed in 38 states, if you need anything mortgage-related, reach out to her at SMaki@fairwaymc.com or give her a call at (520) 977-7904. Tell her 2 Bulls sent you to get the best rates available!If you are interested in signing up with TRADEPRO Academy, you can use our affiliate link here. We receive compensation for any purchases made when using this link, so it's a great way to support the show and learn at the same time! **Use code CHINASHOP15 to save 15%**To contact us, you can email us directly at bandoftraderspodcast@gmail.comCheck out our directory for other amazing interviews we've done in the past!If you like our show, please let us know by rating and subscribing on your platform of choice!If you like our show and hate social media, then please tell all your friends!If you have no friends and hate social media and you just want to give us money for advertising to help you find more friends, then you can donate to support the show here!Cam:‍ ‍Cam is a Navy veteran & management consultant turned 8 figure investor & trader. Trading let him retire at 35 & be able to support and provide for his family forever. Now he wants to help others escape the financial system and live the way we were meant to live: free. His system is a rule-based design that can be used for long term investing, swing trading or option selling on any schedule.Follow Cam on TwitterSub to Cam's YouTube for More!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Vier Trades in Folge verloren. Und plötzlich kommen die Zweifel: Funktioniert meine Strategie noch? Sollte ich etwas ändern? Soll ich das nächste Setup überhaupt noch nehmen? Genau hier geraten viele Trader in eine gefährliche Spirale. In dieser Folge sprechen wir darüber, warum eine Verlustserie nicht automatisch bedeutet, dass deine Strategie nicht funktioniert – und warum du nach vier Verlusttrades nicht sofort dein komplettes Trading-System verändern solltest. Du erfährst, wie du zwischen Strategiefehler, Ausführungsfehler und normaler statistischer Schwankung unterscheidest, warum Backtesting gerade in solchen Phasen entscheidend ist und weshalb ein Verlusttrade trotzdem ein guter Trade sein kann. Vor allem geht es um eine Frage: Was machst du beim fünften Trade, wenn die ersten vier verloren haben? Denn genau dann zeigt sich, ob du wirklich deiner Strategie folgst – oder nur auf deine letzten Ergebnisse reagierst. Nicht die letzten vier Trades entscheiden über deine Strategie. Deine Daten tun es.

Wer ETFs über einen ausländischen Broker wie Interactive Brokers oder CapTrader hält, bekommt keine automatische deutsche Steuerbescheinigung – Vorabpauschale, Teilfreistellung und Verlustverrechnung muss man selbst im Blick behalten. In dieser Folge geht es um die Grundlagen seit der Investmentsteuerreform 2018: warum es die Teilfreistellung gibt, wie sich die Sätze von 30 bis 80 Prozent aus der Fondszusammensetzung ergeben, und wo die Grenze zwischen Aktienfonds und Mischfonds verläuft. Dazu die Vorabpauschale – was besteuert wird, obwohl nichts verkauft oder ausgeschüttet wurde, wie sich Basiszins, Freibetrag und Deckelung zur Berechnung zusammensetzen, und was der Rekord-Basiszins von 3,20 % für 2026 bedeutet. Außerdem: die Besonderheiten bei US-REITs, Quellensteuer und W-8BEN, sowie die häufigsten Fehler, die Anleger mit Auslandsdepot bei der Anlage KAP machen. Unser Gast Stephanie Müller: https://www.vm-finovia.de/Unser Podcast wird unterstützt durch CapTrader: ⁠https://www.captrader.com/⁠   

Optionshandel, Stillhalterstrategien, Risikomanagement, Volatilität, Geldanlage an der Börse – wir verdienen unser Geld damit, genau das zu erklären. Trotzdem sagt Alex in dieser Folge: Niemand muss Optionen handeln. Denn eine Option erzeugt keine Rendite, sie formt nur eine bestehende Rendite-Risiko-Verteilung um – und jede Verschiebung hat ihren Preis.Alex ordnet ein, wo der strukturelle Vorteil des Optionshandels tatsächlich liegt, welche vier grundsätzlichen Tauschgeschäfte dahinterstecken – und aus welchen Motiven Menschen handeln, die es eigentlich nicht sollten. Am Ende steht die ehrliche Frage, ob nicht manchmal der ETF-Sparplan die bessere Wahl ist – und warum sich trotzdem jeder mit dem Thema beschäftigen sollte, selbst wenn er die Option nie zieht.Unser Podcast wird unterstützt durch CapTrader: ⁠https://www.captrader.com/⁠   

Delta 10 gilt als die sichere Stillhalter-Strategie – 90 % Gewinnwahrscheinlichkeit, weit aus dem Geld, wenig Aufregung. In dieser Folge spreche ich mit Reiner Hofmann darüber, warum genau diese vermeintliche Sicherheit trügt. Wir nehmen die Strategie auseinander: woher die 90 % eigentlich kommen, warum sie in die Irre führen, und was im Ernstfall wirklich passiert. Es geht um das unterschätzte Risiko hinter niedrigen Deltas, um Vanna und Gamma im Vola-Spike, um das schwache Chance-Risiko-Verhältnis gegenüber einem simplen Aktienkauf und um den psychologischen Trick, mit dem sich viele Trader systematisch selbst täuschen. Kein Streitgespräch, sondern eine ehrliche Einordnung von zwei Leuten, die den Optionshandel hauptberuflich betreiben. Unser Gast Reiner Hofmann: https://www.optionsmastery.rocks/ Unser Podcast wird unterstützt durch CapTrader: ⁠https://www.captrader.com/⁠   

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcThe market bounced today... but don't let one green day fool you. Under the surface, sell signals are piling up, market breadth is weakening, and more sectors are flashing warning signs. The real question isn't whether the market can rally... it's whether this bounce actually has enough strength to last.This conversation breaks down why waiting for confirmation is one of the biggest advantages traders have. From stacked order blocks and market breadth to sector rotation and buy signals, the discussion explains why buying too early can be just as dangerous as buying too late. There's also a deep dive into AMC after it appeared as a top opportunity on OVTLYR's Sector Intelligence Map, and why the right side of the dip is where disciplined traders want to be.One of the biggest lessons in this episode isn't about finding the next meme stock. It's about trusting data over opinions. Instead of chasing every new strategy or believing the latest "trust me, bro" trading advice, the conversation shows why backtesting, probabilities, and having predefined exit rules lead to better long-term results than reacting emotionally to every market move.There's also a complete market update covering SPY, Nasdaq, market breadth, fear and greed, sector performance, AMC, Northern Oil & Gas (NOG), energy stocks, gap-and-go setups, and how professional traders use confirmation signals to manage risk before entering a trade.✅ SPY, Nasdaq, market breadth, and sell signal analysis✅ AMC breakout setup, order blocks, and gap-and-go strategy✅ Sector Intelligence Map and finding market leaders✅ Backtesting trading strategies instead of guessing✅ Risk management, confirmation signals, and disciplined trade planningIf you've ever wondered why experienced traders wait for confirmation instead of blindly buying every dip... this episode shows exactly how patience can become one of your biggest edges.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

Antes de arriesgar tu capital real, necesitas dominar la estrategia. En este episodio te enseñamos cómo utilizar las cuentas demo como el paso crucial de entrenamiento sin riesgo y por qué el backtesting es tu mejor herramienta para validar la efectividad de tu operativa en el mercado. ¡Construye tu confianza como trader profesional antes de dar el gran salto!

Send us Fan MailIn this episode, we talk about the launch of the new Football Backtesting software inside Betfair Trading Community.This is a massive step forward for football traders because it means you no longer have to guess whether a strategy “looks good” or rely on a few recent results.You can now go back through historical football data, test your ideas, check the numbers, and see if a strategy has actually had an edge before you start trading it live.We cover why backtesting matters, what the new software is designed to do, how members can use it, and why this changes the way we build and improve football trading strategies.If you have ever opened Betfair, looked at a fixture list, and had no real idea what to trade, this episode is for you.Sign up here: https://checkout.lightspeedstats.com/lightspeed-stats-football-stats/Support the showSign up here: https://checkout.lightspeedstats.com/lightspeed-stats-football-stats/Twitter: @BetfairTCWebsite: https://betfairtradingcommunity.com/en/Facebook: https://www.facebook.com/betfairtradingcommunity

In this episode, Cam and Joel go deeper into the force behind the Gap and Go strategy: momentum.Cam breaks down what momentum actually means in the market, why stocks can get repriced violently when institutions realize they were wrong, and how that repricing shows up through gaps, volume, and continuation. Using examples like AGL and HWM, they walk through why some stocks keep running long after most traders would have taken profits.The conversation also digs into the data behind momentum trading, including R multiples, maximum favorable excursion, Monte Carlo testing, and why a small percentage of trades can account for the majority of returns.They also cover one of the hardest questions in trading: when do you take profits, and when do you let the trade keep working?Later in the episode, Cam explains how he's using AI, backtesting, and his own trade history to study momentum, refine his process, and better understand where rules end and human judgment begins.⚠️ Best experienced on Spotify or YouTube - Cam is sharing charts throughout the episode.

Episode 116 - Backtesting Monte Carlo by Dan Vacanti & Prateek Singh

When Dave Mabe backtested his strategy, it outperformed his own discretionary trading — and changed how he approached everything. In this episode, we discuss gapping breakouts, expectancy, systematic trading, drawdowns, and the reality gap between backtests and live execution. A practical conversation for traders serious about building durable edge. In this episode, we explore: ·        How Dave got introduced to markets: From early exposure to investing through his family to actively seeking more control over his capital and moving from swing trading into day trading. ·        Why rules matter: The transition from discretionary decisions to systematic frameworks — and why trading without a process is a fast path to inconsistency. ·        Backtesting as a “superpower”: What backtesting really does for strategy development and confidence in your edge. ·        Reconciling backtests with real life: Practical realities of execution, slippage, and market structure — and how to build a feedback loop so your live results get closer to your imulations. ·        Drawdowns and mindset: How to handle periods where a strategy doesn't behave as expected, and why many traders quit in drawdowns rather than at all-time highs. ·        Scaling a trading business: The difference between scaling size versus scaling breadth — and why uncorrelated strategies matter. ·        Practical first step for systematic traders: How to start adding structure to your trading with backtesting, even if you're not a programmer.   About the guest:   Dave has been a professional trader and technologist for over two decades. As a former CTO of Trade-Ideas, he has unique experience at the intersection of algorithm design, real-time market data, and automated execution. Outside trading, he writes a popular daily newsletter on backtesting and systematic strategy development, and hosts the Line Your Own Pockets podcast focused on systematic approaches to markets. Links + Resources: · Link to Better Backtesting —Dave's free multi-day email course on building strategies and improving them over time. · Trade-Ideas, Amibroker, RealTest — examples of backtesting and strategy development platforms discussed in context.   Sponsor of Chat With Traders Podcast:  Trade The Pool:  http://www.tradethepool.com Time Stamps: Please note: Exact times will vary depending on current ads. 00:00 Intro and Background 08:29 Stock Selection and Systematic Trading Rules 11:32   Position Sizing, Expectancy and Risk Management 16:50   Discovering Backtesting and First Backtests 18:40   Backtesting Principles, Sample Size and Common Pitfalls 20:34   Gradual Automation and Live Trading Implementation 22:17   Trading Journal and Reconciling Backtest vs Live 27:27   Scaling through Automation: More Trades, Better Results 29:26   Drawdowns, Psychology and Handling Setbacks 34:14   Tools, AI and Software for Backtesting and Coding 39:56   Common Trading Myths Debunked (Partials, Stops) 48:01   Getting Started: Practical Steps, Resources and Closing   Trading Disclaimer:   Trading in the financial markets involves a risk of loss. Podcast episodes and other content produced by Chat With Traders are for informational or educational purposes only and do not constitute trading or investment recommendations or advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

You've backtested the strategy. The numbers check out. So why does everything change when real money is on the line? In this episode, we dive into the emotional gap between backtesting and live trading, why fear shows up the moment risk becomes real, and how to confidently make the transition without sabotaging your edge. If you're stuck in simulation mode or hesitating to go live, this one's for you.Learn to Trade at www.TierOneTrading.comYour Trading Coach - Akil

In this episode of Keep the Change, Coco Dee records with her long-time friend Kate Moloney to unpack how market hype drives FOMO and emotional decision-making, particularly for people new to investing. They respond to a viral influencer rant about Bitcoin, noting its 42% drop in six months, and use it as a case study in human behaviour, emotional attachment to assets, validation seeking, and shaming others into buying. Kate shares her approach as a systematic share trader, using coded rules, backtesting, stress testing, and clear exit strategies without attachment, and contrasts this with all-in investing that creates nervous system volatility and poor decisions. Together they emphasise capital preservation, having an exit plan, diversification (even within the same asset class), keeping a cash buffer, and running worst-case scenarios. Coco shares a real business example from opening a childcare where delays doubled the cash required, reinforcing why buffers matter and why you should never invest money you can't afford to have tied up. The episode wraps with a reminder to ignore online noise, avoid pedestal thinking, invest in line with your own risk profile, and let long-term strategy and compounding do the heavy lifting.00:00 Welcome to Keep the Change + Meet Kate Moloney"01:23 Why We're Here: Debunking Hype, FOMO & “Not Financial Advice”03:43 The Bitcoin Influencer Rant: What It Reveals About Investor Psychology05:46 Systematic Trading 101: Rules, Backtesting & Zero Emotion09:11 Capital Preservation & Drawdowns: Why Losses Hurt More Than You Think13:59 Stress-Testing Any Investment (Property, Business, Anything)17:22 Buffers & Diversification: Don't Put All Your Eggs in One Basket20:57 Get-Rich-Quick Myths vs Compound Interest (and Keeping Cash Aside)22:55 Know Yourself: Risk Profile, Nervous System & Ignoring Online Noise24:42 Lessons From Our Own Mistakes + Final Takeaways & Wrap-Up If you're after some more goodiesI have a FREE 5-Day Mindset Reset for you called Wealthy Women WinYou can also follow me on Instagram

Gmoney built an algorithmic trading engine, a personal legal team, an automated content pipeline, and a full website. All of this was done through OpenClaw running on a Mac Mini in his house.He walks us through his full Discord setup, how he spawned sub-agents like Saul Goodman for contracts and Milhouse for research, and why his OpenClaw pitches him new business ideas every morning like a daily Shark Tank.We cover:- Why He Ditched Telegram and Built OpenClaw on Discord- How He Structures Channels: Health, Legal, Trading, Content & More- His OpenClaw "Shark Tank" That Pitches Money-Making Ideas Daily- Spawning Sub-Agents- OpenClaw + Interactive Brokers- Auto-Generating Tweets in His Voice- The Gateway Restart Bug That Still Catches Him Off Guard- Why OpenClaw's Real Unlock Is Working From AnywhereThe RollupTimestamps:00:00 Intro00:34 Near Ad00:51 Gmoney's OpenClaw Journey01:14 Telegram's Limits03:56 Gateway Bugs & Response Time04:50 Relay Ad05:50 Early Friction08:17 Where Opus 4.5 Differs09:33 Buying a Mac Mini & First Setup10:24 OpenClaw's Mobile Productivity11:34 Building Websites Through OpenClaw11:56 Agent-First Websites16:35 Creating Auto Content20:55 Hibachi Ad, infiniFi Ad21:42 Backtesting 88,000 Trading Strategies23:24 Connecting OpenClaw to Interactive Brokers26:35 The Polymarket Bot That Lost $20030:25 Sub-Agent Framework33:02 Whoop Integration & Health Channel33:41 OpenClaw Upgrades Its Own Skills35:38 Curation Over Knowledge38:34 Whisper Flow & Closing ThoughtsWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://goodidea.ventures

How To Make A Living Trading With AI In episode 547 of the Desire To Trade Podcast, you will be listening to an interview with professor and AI expert Dr. Matloob Khushi, sharing why he stopped believing in universal trading algorithms after spending years trying to build one. He walks through what he actually teaches his PhD students—and why most people claiming to trade with AI are really just feeding screenshots into a black box that's already seen tomorrow's prices. No hype, just the uncomfortable reality of what it takes to build something that actually holds up. The video is also available for you to watch on YouTube. >> Watch the video recording! Topics Covered In This Episode 00:00 Introduction 01:01 How he learned algo trading and his background with AI 03:22 Teaching trading: from basics to AI integration 05:08 Bridging discretionary trading and algorithms 08:11 Data utilization in AI trading 11:43 The complexity of AI in trading 13:11 Backtesting and confidence in algorithms 15:32 The hard truth about trading with AI 21:07 Continuous monitoring and emotional factors in trading 25:45 Algorithm management and broker considerations What did you like best in this podcast episode? Let's talk in the comments below, or join me in the Facebook group! Desire To Trade's Top Resources DesireToTRADE Forex Trader Community (free group!) Complete Price Action Strategy Checklist One-Page Trading Plan (free template) Recommended brokers: EightCap (preferred Crypto and FX Broker) AxiTrader (use our link to get a special bonus) Desire To TRADE Academy Get a copy of Prop Trading Secrets (Author: Kathy Lien & Etienne Crete) About The Desire To Trade Podcast Subscribe via iTunes (take 2 seconds and leave the podcast a review!) Subscribe via Stitcher Subscribe via TuneIn Subscribe via Google Play See all podcast episodes What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group! How to find Dr. Matloob Khushi Dr. Matloob Khushi's publications What one thing will you implement after listening to this podcast episode? Leave a comment below, or join me in the Facebook group!

This week on The Data Minute, Peter sits down with Ben Orthlieb, Founding Partner at Blue Moon VC, for a look under the hood of a firm that has completely re-engineered the venture capital process using AI.Ben explains how Blue Moon uses a proprietary tech stack to source over 12,000 teams a year and screen them down to the top 5% based on their probability of graduating to Series B, achieving performance metrics that rival top-tier firms without the massive headcount. He breaks down why the "warm intro" is obsolete, how sending AI-generated dossiers to founders results in a 75% meeting acceptance rate, and why human judgment is still the final decision-maker.They also discuss the "hollowing middle" of the venture market, why multi-billion dollar funds struggle to innovate their own workflows, and how a small check strategy allows Blue Moon to cooperate, rather than compete, with the biggest names in the industry.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters00:00 – Intro: The AI-first VC01:27 – Blue Moon's thesis: Coverage and Winning03:11 – How to source 12,000 teams a year without a network05:40 – "Machine learning instinct": Optimizing for Series B graduation07:44 – Backtesting the algorithm against top 50 Seed firms10:12 – The 75% meeting conversion rate (and why cold email works)12:30 – The "AI Dossier": Showing founders you did the work14:13 – Finding outliers outside the "Credibility Pool" (The Mercor story)16:05 – The investment process: Where AI ends and humans begin18:43 – Does it matter who else is on the cap table?23:36 – The "Small Check" advantage in winning allocation25:22 – How to interview for resilience30:20 – Why personal questions are a competitive advantage32:31 – Follow-ons, reserves, and systematic secondaries36:00 – Why haven't big funds copied this strategy yet?39:54 – The "hollowing middle" of the VC market44:40 – Why brand is the only defense against noise49:20 – Do warm intros actually result in better investments?52:46 – The future of the "Operator-VC" model56:00 – What LPs really think about an AI-driven fund59:07 – OutroThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2025 eShares, Inc., dba Carta, Inc. All rights reserved.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Today was one of those rare trading days where everything finally lined up. After sitting in cash and waiting patiently, the portfolio goes nearly all-in across nine different stocks, all driven by market trend, sector strength, and precise options execution. This video walks you through exactly how that transition happens, step by step, in real time.It all starts at the top with the broader market. The S&P 500 trend, market breadth, and the fear and greed readings are the first gates that must open before any capital moves. Once those signals align, the focus shifts to sector rotation. Financials, real estate, and utilities rise to the top while weaker sectors get filtered out. From there, individual stocks are screened using buy signals, price location relative to order blocks, and clean technical structure.Instead of tying up massive capital in shares, this portfolio uses deep in-the-money call options as stock replacement. That allows broad diversification without overexposing the account to one ticker. ATR is used to size positions properly, so volatility controls risk instead of emotion. Every trade has defined risk before the order is ever placed.✅ How market, sector, and stock filters stack together✅ Why deep ITM calls can replace stock✅ How ATR controls position size and stops✅ Why rolling at half ATR reduces downside risk✅ How to stay disciplined when fully invested✅ Why losers are built into every winning systemYou also get a real look at how rolling works in practice. At half ATR, partial risk is removed by rolling contracts forward, which lowers exposure while keeping the trade alive. This is where the strategy becomes truly defensive. It is not about guessing where price will go next. It is about managing risk while letting probability work.This video also pulls back the curtain on what trading really looks like behind the scenes. There is no flashy shortcut here. It is spreadsheets, position sizing, stops, and rules being followed without hesitation. Managing nine positions at once is real work, and you see exactly what that workload looks like. This is the side of trading most people never show.Backtesting confirms the reality. The system includes losers by design. The power comes from cutting losses quickly while allowing winners to expand. The goal is not to win every trade. The goal is to stay consistent when emotions try to get in the way.If you have ever wondered what it actually looks like to go from sitting in cash to being fully deployed with confidence and structure, this video shows the entire process from start to finish. Everything is built around the OVTLYR ecosystem and the tools that support it.Stick around, watch how the entries unfold, and see how exits and rolling protect the portfolio after the fact. This is what trading looks like when a plan is actually being executed.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

In this episode, we break down the real power of patience in your backtesting process. From how long backtesting should actually take, to why rushing only creates false confidence, to the critical preparation you must complete before you ever test a single chart—this conversation will reshape how you approach building your trading edge. If you've ever felt behind, overwhelmed, or tempted to “speed-run” your strategy testing, this episode is your reality check. Slow, steady, and structured is how you win.Please remember to leave the podcast a rating and review!Your Trading Coach - Akil

The Truth About Trading Success Nobody Teaches; explore how trading discipline, painful losses, and decades of experience shaped one of the most respected traders in the game.Steve Burns shares how he transformed early mistakes into a long-lasting edge through rule-based systems, precise risk control, and a mindset focused on compounding small wins. Whether you are new to trading or refining your system, this episode offers critical lessons on what it truly takes to survive and thrive in the markets.Trading discipline is not just a buzzword. It is the defining trait that separates amateurs from professionals. In this episode, Steve Burns reveals how painful drawdowns, decades of real-world lessons, and a strict focus on risk management helped him achieve lasting success in the markets.With nearly 30 years of trading experience, Steve shares his transition from high-risk speculation to a methodical, rules-based approach. He breaks down how compounding small gains can lead to massive results, why position sizing is critical to trader psychology, and how most traders fail before they even learn what matters.What You'll Learn in This Episode:Core principles of trading discipline and emotional controlHow compounding and small wins drive long-term growthBuilding a system that protects capital and preserves gainsThe role of position sizing in reducing emotional volatilityManaging drawdowns with systematic exitsBacktesting techniques and avoiding data biasTimestamps00:00 – Introduction04:58 – From amateur to professional: learning the hard way10:30 – Compounding: small wins, big future16:20 – Risk control, edge, and protecting profits22:45 – Steve's watchlist and technical setup30:15 – Backtesting strategies and common mistakes37:10 – Current markets, liquidity, and trader sentiment43:50 – What Steve would do differently48:15 – Final thoughts and adviceAbout Two Blokes TradingTwo Blokes Trading is one of the world's biggest trading podcasts, with over 900,000 listeners and a rapidly growing social media app built for traders. Our platform empowers retail traders with AI-driven tools, real-time sentiment analysis, and expert market insights. We turn complex data like insider trades and global trends into smart, actionable trade ideas once reserved for institutions. With cutting-edge technology and clear education, Two Blokes Trading helps everyday traders move faster, think smarter, and trade like professionals.About Steve BurnsSteve Burns is the founder of New Trader U, a veteran trader, educator, and author of more than 17 books on trading strategy, risk management, and psychology. Since 1995, Steve has helped thousands of traders transition from impulsive to intentional trading through structured systems, backtested strategies, and timeless principles.This episode is sponsored by our partnered broker Forex.com. For more information or to setup an account click the link below.https://stonexmarketingpartnerships.ck-cdn.com/tn/serve/geoGroup/?rgid=4&bta=40159 CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 74% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work, and whether you can afford to take the high risk of losing your money. Connect with UsInstagram:

Can AI replace manual backtesting? Akil shares the three pillars of effective backtesting and reveals where AI can help, where it can't, and how to use it without blowing up your process.Register for our MARKET MASTERY workshop - https://tieronetrading.com/Your Trading Coach - Akil

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jared Zoneraich, CEO and co-founder of PromptLayer, about how AI is reshaping the craft of software building. The conversation covers PromptLayer's role as an AI engineering workbench, the evolving art of prompting and evals, the tension between implicit and explicit knowledge, and how probabilistic systems are changing what it means to “code.” Stewart and Jared also explore vibe coding, AI reasoning, the black-box nature of large models, and what accelerationism means in today's fast-moving AI culture. You can find Jared on X @imjaredz and learn more or sign up for PromptLayer at PromptLayer.com.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop opens with Jared Zoneraich, who explains PromptLayer as an AI engineering workbench and discusses reasoning, prompting, and Codex.05:00 – They explore implicit vs. explicit knowledge, how subject matter experts shape prompts, and why evals matter for scaling AI workflows.10:00 – Jared explains eval methodologies, backtesting, hallucination checks, and the difference between rigorous testing and iterative sprint-based prompting.15:00 – Discussion turns to observability, debugging, and the shift from deterministic to probabilistic systems, highlighting skill issues in prompting.20:00 – Jared introduces “LM idioms,” vibe coding, and context versus content—how syntax, tone, and vibe shape AI reasoning.25:00 – They dive into vibe coding as a company practice, cloud code automation, and prompt versioning for building scalable AI infrastructure.30:00 – Stewart reflects on coding through meditation, architecture planning, and how tools like Cursor and Claude Code are shaping AGI development.35:00 – Conversation expands into AI's cultural effects, optimism versus doom, and critical thinking in the age of AI companions.40:00 – They discuss philosophy, history, social fragmentation, and the possible decline of social media and liberal democracy.45:00 – Jared predicts a fragmented but resilient future shaped by agents and decentralized media.50:00 – Closing thoughts on AI-driven markets, polytheistic model ecosystems, and where innovation will thrive next.Key InsightsPromptLayer as AI Infrastructure – Jared Zoneraich presents PromptLayer as an AI engineering workbench—a platform designed for builders, not researchers. It provides tools for prompt versioning, evaluation, and observability so that teams can treat AI workflows with the same rigor as traditional software engineering while keeping flexibility for creative, probabilistic systems.Implicit vs. Explicit Knowledge – The conversation highlights a critical divide between what AI can learn (explicit knowledge) and what remains uniquely human (implicit understanding or “taste”). Jared explains that subject matter experts act as the bridge, embedding human nuance into prompts and workflows that LLMs alone can't replicate.Evals and Backtesting – Rigorous evaluation is essential for maintaining AI product quality. Jared explains that evals serve as sanity checks and regression tests, ensuring that new prompts don't degrade performance. He describes two modes of testing: formal, repeatable evals and more experimental sprint-based iterations used to solve specific production issues.Deterministic vs. Probabilistic Thinking – Jared contrasts the old, deterministic world of coding—predictable input-output logic—with the new probabilistic world of LLMs, where results vary and control lies in testing inputs rather than debugging outputs. This shift demands a new mindset: builders must embrace uncertainty instead of trying to eliminate it.The Rise of Vibe Coding – Stewart and Jared explore vibe coding as a cultural and practical movement. It emphasizes creativity, intuition, and context-awareness over strict syntax. Tools like Claude Code, Codex, and Cursor let engineers and non-engineers alike “feel” their way through building, merging programming with design thinking.AI Culture and Human Adaptation – Jared predicts that AI will both empower and endanger human cognition. He warns of overreliance on LLMs for decision-making and the coming wave of “AI psychosis,” yet remains optimistic that humans will adapt, using AI to amplify rather than atrophy critical thinking.A Fragmented but Resilient Future – The episode closes with reflections on the social and political consequences of AI. Jared foresees the decline of centralized social media and the rise of fragmented digital cultures mediated by agents. Despite risks of isolation, he remains confident that optimism, adaptability, and pluralism will define the next AI era.

Host: Mark Longo, Owner and CEO of The Options Insider Media Group Featured Guests: Russell Rhoads, Associate Clinical Professor at Indiana Kelley School of Business Matt Amberson, Principal and Founder of ORATS (Options Research and Technology Services) Daniel Murillo, Associate Vice President and US Sales Manager for Market Data and Services at Deutsche Börse (Eurex) For traders looking across the pond, data access is the key to unlocking opportunities. In this episode, our panel tackles the challenges of finding, analyzing, and utilizing quality European derivatives market data. On the Agenda: Data Deep Dive: Where can retail and professional traders find reliable, cost-effective data for Eurex products like EURO STOXX 50, DAX, and VSTOXX? Guests highlight essential free and paid resources. Backtesting the Continent: ORATS's Matt Amberson details how the unique, often sideways movement of European stocks offers different—and sometimes better—backtesting results for strategies like covered calls compared to the U.S. market's long bull run. The Race for Speed: Daniel Murillo of Eurex shares an insider look at the exchange's data services, including T+1 flows and new picosecond-level timestamping for High-Frequency Traders. VIX vs. VSTOXX: Russell Rhoads analyzes the difference in the futures term structure between VIX and VSTOXX, revealing why the European volatility index offers unique trading dynamics, especially as the U.S. trading day slows down.

In this episode, Mark Longo and Matt Amberson (ORATS) reflect on the evolution of options trading and the role of financial advisors since the show's inception in 2011. They discuss the dramatic growth in options volume, the rise of zero-DTE trading, the democratization of tools and education for advisors, and the increasing client demand for options strategies. They also delve into current market conditions, strategies like collars and the wheel, and the potential impact of AI on options trading. Listener questions about tax implications and the implications of AI in options trading are answered, providing a comprehensive look at the state of options and advisory services today. 00:00 Introduction and Welcome 04:40 Market Update: P&L Statement 11:19 Earnings Volatility Report 20:16 Options Market Evolution 31:39 The Evolution of Weekly Options 32:24 The Impact of Zero DTE Options 33:21 Backtesting and Zero DTE Strategies 36:21 The Democratization of Options Trading 38:06 The Rise of Trading Tools for Advisors 40:51 Understanding Volatility and VIX 43:31 Earnings Trading and Data Analysis 46:57 Client Demand and Advisor Evolution 49:08 Office Hours: Answering Listener Questions 59:45 Final Thoughts

In this episode of the Trading Coach Podcast, Akil Stokes answers key backtesting questions and shares practical tips to help you avoid common mistakes. Learn how to refine your strategy, set proper expectations, and start building your trading like a real business.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Every trader wants a system that not only works but actually beats expectations. That's where Plan M comes in—the strategy built on OVTLYR 4.0 swing signals that's proving to be cleaner, simpler, and far more profitable than anything before it. In this video, we walk through the evolution from Plan A to Plan M, showing how small refinements in exits and position sizing turned a strong plan into a market-beating powerhouse.It started with active signals. The idea was simple: more trades mean more opportunities. But more opportunities don't always mean better results. Backtesting revealed that while active signals created volume, swing signals consistently delivered stronger, more reliable gains. Plan M took those swing signals, layered in improved exits, and produced returns that stunned even the most optimistic expectations.Here's what you'll learn in this video:➡️ Plan A vs. Plan M: Why swing signals dominate active signals and how that shift improved performance by over 200% in just one month.➡️ Cleaner exits: How refined rules—like ATR stop losses, order blocks, and sell signals—make exits sharper and results stronger.➡️ Monte Carlo proof: Stress tests showing Plan M outperforming Plan A across thousands of scenarios, with dramatically better average and worst-case returns.➡️ The 200-day insight: Why signals often work best under the 200-day moving average, catching moves earlier and avoiding lagging entries.➡️ Position sizing rules: How using ATR distance for sizing keeps losses smaller while letting winners run.➡️ The rolling edge: How rolling options reduces risk, locks in profits, and frees up capital for new trades.➡️ Second-chance signals: Why some trades still work even if you miss the first buy signal, with examples from names like Nvidia and Robinhood.➡️ Future expansion: OVTLYR is adding thousands of additional stocks, giving traders more opportunities than ever before to apply Plan M across the market.The results speak for themselves. In head-to-head comparisons, Plan M crushed Plan A—producing average returns in the millions during Monte Carlo simulations while keeping drawdowns contained. Even in worst-case scenarios, Plan M outperformed by wide margins. That's before adding leverage.This isn't about hype. It's about following signals, respecting data, and letting probabilities guide decisions. Plan M has proven that simpler rules, better exits, and disciplined sizing can change everything. And with tools like OVTLYR powering the signals, traders have the confidence that comes from proven, backtested strategies rather than gut feelings or market noise.If you're ready to see why Plan M is becoming the default strategy for serious traders, this breakdown will show you exactly how it works and why it matters. This is about trading smarter, managing risk better, and capturing gains more consistently.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

Topics CoveredSetting the global context: the $7 trillion daily FX market and its driversThe advantages of technical analysis in high-liquidity marketsRule-based systems and algos: strategies for 24/5 tradingKey FX trading approaches: trend, mean reversion, breakouts, session-based, and news-drivenDubai's financial rise: DIFC, regulation, and the time zone advantageThe role of the CMT Association and Women in Technical Analysis in shaping the future of financeUpcoming EventsSeptember 28 – CMT Riyadh Community Meeting: a premier forum for market professionals across Saudi Arabia and beyond.Register hereSeptember 30–October 2 – CMT Global Investment Summit in Dubai: an elite gathering of fund managers, strategists, and investors decoding cross-asset trends and innovations in global markets.Register hereWomen in TA dinnerVisit us at www.dantesoutlook.com 

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.It's Ask Me Anything Friday, and today we're tackling some of the biggest questions traders have about OVTLYR 4.0, trading strategies, and how to build consistency in the markets. This session is packed with insights on entries, exits, risk management, and the psychology needed to survive long term.One of the biggest takeaways is the difference between active and swing signals. Active signals show up more frequently, while swing signals capture longer-term setups with fewer trades. Both have their place, and knowing when to use each is key to matching your trading style with the right opportunities. OVTLYR 4.0 now makes it easier than ever to see these signals side by side, test them, and build a plan you can trust.We also dive into one of the most misunderstood concepts in trading: rolling options. Instead of closing out a trade entirely, rolling can free up capital, lock in partial profits, and keep you in position when the setup is still valid. It's a lifestyle-friendly approach that helps traders manage positions without being glued to the screen all day.Here's what you'll learn in this session:➡️ Why rolling options can extend winners and improve capital efficiency➡️ The importance of ATR and EMA crossovers in position sizing➡️ How entries, exits, and sizing combine to create expectancy➡️ Why wins and losses are always randomly distributed➡️ The surprising truth about selling options and why most traders lose➡️ How fear and greed levels above 70 often signal potential snapbacks➡️ Why closing trades before earnings dramatically improves expectancy➡️ The difference between active and swing signals in OVTLYR 4.0➡️ How stock and options traders alike can use the same signals effectivelyThe video also covers why trading success is about following rules, not predicting outcomes. Backtesting shows that expectancy skyrockets when traders stick to exit signals and respect stop levels, while holding through earnings usually adds unnecessary risk. The math is clear: small losses and big winners are the formula for long-term success.We talk about the role of fear and greed in market timing, how to avoid stop-loss hunting with end-of-day execution, and why every trader needs a plan that works for both stocks and options. OVTLYR 4.0 is built on these principles, combining breadth, trend, and volatility data to create a clear framework that eliminates guesswork.Trading isn't about being right all the time. It's about stacking probabilities in your favor, managing risk, and staying disciplined through streaks of wins and losses. If you're serious about trading smarter, cutting through the noise, and building a plan that lasts, this AMA will give you the insights you need.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

Adrian Reid is a full-time private trader with 20+ years of experience based in Australia. He is also the Founder and Head Trading Coach at Enlightened Stock Trading, which focuses on educating and supporting traders on their journey to profitable systems trading. Following his successful adoption of systematic trading which generated him hundreds of thousands of dollars a year using just 30 minutes a day to manage his system trading workflow, Adrian made the easy decision to leave his professional work in the corporate world in 2012. Adrian trades long/short across US, Australian and international stock markets and the cryptocurrency markets. His trading systems have consistently outperformed international share markets with dramatically reduced risk over the past 20+ years.Adrian focuses on building portfolios of profitable, stable and robust long term trading systems to beat market returns with high risk adjusted returns. Adrian teaches traders from all over the world how to get profitable, confident and consistent by trading systematically and backtesting their own trading systems. He helps profitable traders grow and smooth returns by implementing a portfolio of trading systems to make money from different markets and market conditions.Adrian has presented for a range of trading conferences including the Australian Technical Analysts Association (ATAA) and The International Federation of Technical Analysts (IFTA) annual conferences. He contributes regularly to the Interactive Brokers Webinar Series, has written many articles for Your Trading Edge magazine and been interviewed on numerous podcasts including Better System Trader, The Interactive Brokers Podcast, Talking Trading, Desire To Trade and many others.CONTACT DETAILSCompany: Enlightened Stock TradingEmail: adrian@enlightenedstocktrading.com Website: https://enlightenedstocktrading.com Remember to SUBSCRIBE so you don't miss "Information That You Can Use." Share Just Minding My Business with your family, friends, and colleagues. Engage with us by leaving a review or comment here or on my Google Business Page. https://g.page/r/CVKSq-IsFaY9EBM/review Your support keeps this podcast going and growing.Visit Just Minding My Business Media™ LLC at https://jmmbmediallc.com/ to learn how we can support you in getting more visibility on your products and services. 

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

Join us as we explore the mysteries and nuances that emerge when trying to backtest 0DTE options strategies with Troy McNeil, Co-Founder of Option Omega.

Join us as we explore the mysteries and nuances that emerge when trying to backtest 0DTE options strategies with Troy McNeil, Co-Founder of Option Omega.

In this episode, we ask: What was born 129 years ago today? What has Mark learned? Have you ever seen the phrase, past performance is no guarantee of future results? What about marketing? What about backtesting? What is an index? How is the Dow Jones constructed? How are the stocks in the S&P weighted? What...

Welcome back to Gambling with Good JuJu, the show with more modeling than IMG! This week, we're thrilled to welcome back our friend and host of The Risk Takers Podcast, GoldenPants. He recently dropped an episode on the pros and cons of backtesting, and since we're knee-deep in building our own college football betting system (shoutout Beyond the Odds and Elihu Fuestel), we had to bring him on to help us make sense of the backtesting battlefield.We dive into:Why Kalshi might be more scared of horses than sportsThe debate around whether you should backtestCommon pitfalls and real benefits of backtestingTips for first-time modelers (yes, we said it)Making the shift from top-down to bottom-up bettingImplications for account health and longevityWe also chat about what's next for GoldenPants beyond the pod, and ask the ultimate question: if sports betting disappeared tomorrow, where would he take his edge?Smash that like, follow, and subscribe button on your favorite podcast platform or YouTube, hit us up on socials @goodjujubets, and swing by goodjujubets.net to grab some merch and support the show!Good JuJu to your bets — we'll talk again soooon!Support the showFollow along on Twitter or Instagram @goodjujubets.goodjujubets.net

Sponsored by Pepperstone You're not lazy. You're just trying to do everything. Journaling. Backtesting. Meditation. Trade reviews. More books. More podcasts. But what if all those good intentions are actually slowing you down? In this solo episode, I'll show you how to filter out the noise, focus on what matters, and finally make real progress in your trading.

0:00 Intro1:20 Backtesting - All you need to know40:08 News1:09:00 Listener Q&AWelcome to The Risk Takers Podcast, hosted by professional sports bettor John Shilling (GoldenPants13) and SportsProjections. This podcast is the best betting education available - PERIOD. And it's free - please share and subscribe if you like it.My website: https://www.goldenpants.com/ Follow SportsProjections on Twitter: https://x.com/Sports__ProjWant to work with my betting group?: john@goldenpants.comWant 100s of +EV picks a day?: https://www.goldenpants.com/gp-picks

In this episode of Enrich Your Future, Andrew and Larry Swedroe discuss Larry's new book, Enrich Your Future: The Keys to Successful Investing. In this series, they discuss Chapter 26: Dollar Cost Averaging.LEARNING: Invest all your money whenever you have it. “If you want to put the odds in your favor, which is the best we can do because we don't have clear crystal balls, you should put all your money in whenever you have it to invest.”Larry Swedroe In this episode of Enrich Your Future, Andrew and Larry Swedroe discuss Larry's new book, Enrich Your Future: The Keys to Successful Investing. The book is a collection of stories that Larry has developed over 30 years as the head of financial and economic research at Buckingham Wealth Partners to help investors. You can learn more about Larry's Worst Investment Ever story on Ep645: Beware of Idiosyncratic Risks.Larry deeply understands the world of academic research and investing, especially risk. Today, Andrew and Larry discuss Chapter 26: Dollar Cost Averaging.Chapter 26: Dollar Cost AveragingIn this chapter, Larry discusses why lump sum investing is better than dollar cost averaging.Should you invest your money all at once or spread it over time?According to Larry, the issue of Dollar Cost Averaging (DCA) typically arises when an investor receives a large lump sum of money and wonders if they should invest it all at once or spread it over time. The same problem arises when an investor panics and sells when confronted with a bear market, but then there are two questions: How does the investor decide when it is safe to reenter the market? And does she reinvest all at once or by DCA?Constantinides, a University of Chicago professor in the 1960s, studied this question. He demonstrated that DCA is an inferior strategy to lump sum investing. He termed it logically dumb as it makes no sense based on an expected return outcome. From a purely financial perspective, the logical answer is that if you have money to invest, you should always invest it whenever it's available.Another paper by John Knight and Lewis Mandell compared DCA to a buy-and-hold strategy. Then, it analyzed the strategies across a series of investor profiles from risk-averse to aggressive. They concluded that DCA had no advantage over the two alternative investment strategies. Combined with their graphical analysis, their numerical trial and empirical evidence favored optimal rebalancing and buy-and-hold strategy over dollar cost averaging. Optimal rebalancing refers to the strategy of adjusting the proportions of assets in a portfolio to maintain a desired level of risk and return.Dollar cost averaging versus lump sum investingKnight and Mandell conducted a backtest to compare the performance of DCA versus LSI (lump sum investing). Backtesting is a simulation technique to evaluate the performance of a trading strategy using historical data. They backtested the two strategies between 1926 and 2010. Transaction costs were ignored (favoring DCA, which involves more trading). The authors assumed the initial portfolio was $1 million in cash, and the...

https://tradingnut.com/aaron-luce-2/ Aaron's Links

In this conversation, Brad and Brent explore the concept of a trading edge, discussing how to identify it, recognize when it is lost, and the emotional aspects of trading. They emphasize the importance of self-awareness and backtesting in maintaining a successful trading strategy, while also acknowledging the inevitable struggles traders face throughout their careers.TakeawaysDefining your trading edge can be subjective and varies for each trader.A clear sign of losing your edge is when past successful strategies no longer yield results.Emotional dissatisfaction in trading can indicate a loss of connection to your strategy.Backtesting can help identify when your edge is no longer effective.Experiencing larger losses than expected is a significant red flag.Trading should bring joy, but it also comes with stress.Long-term traders often face periods of doubt and disconnection from their work.Admitting when a strategy isn't working is crucial for growth.Rebuilding after losses requires humility and self-reflection.Finding a new edge is possible with the right mindset and approach.Finding Your Trading Edge: A Deep DiveWhen Your Trading Edge Disappears"How do you know when your edge is gone?""I feel like shit about what I'm doing.""You need to go back to the drawing board."

In this Podcast, Paul, Chris, and Daryl describe the Sound Investing Portfolios and their background, rationale, construction, and performance.    00:00 - Intro02:00 - DFA Background05:47 - Portfolio Rationale11:45 - Allocations14:11 - Backtesting & Comparisons19:32 - Rewards of Diversification28:42 - Differing Good Times32:40 - 70/30 US/Int'l Portfolios35:05 - Which Funds?39:08 - Close   During the Podcast the following tables were referenced:✅ Table H1a - Sound Investing Portfolios: Asset Allocations (50% U.S. / 50% Int'l)✅ Table H2a - Sound Investing Portfolios: Comparative Data (50% U.S. / 50% Int'l)✅ Table H3a -  Sound Investing Portfolios: Annual Returns (50% U.S. / 50% Int'l)✅ Table H1b - Sound Investing Portfolios: Asset Allocations (70% U.S. / 30% Int'l)✅ Table H2b - Sound Investing Portfolios: Comparative Data (70% U.S. / 30% Int'l)✅ Table H3b - Sound Investing Portfolios: Annual Returns (70% U.S. / 30% Int'l)

In this episode we answer emails from Lucas, Martijn, and Alexi (a/k/a "the Dude").  We discuss futures contracts and the efforts required to use them, being careful about backtests and interpreting them, and more musings on Big Mo momentum.Links:Father McKenna Center Donation Page:  Donate - Father McKenna CenterMartijn's Link:  testfol.io/?s=aoTgPMqhGQAPortfolio Matrix (Start Date Sensitivity):  Portfolio Matrix – Portfolio ChartsThe Dude's First Link:  Asset CorrelationsThe Dude's Second Link:  testfol.io/?s=aKrdp1uCnEuThe Dude's Third Link:  testfol.io/?s=kUK5djVum0AAmusing Unedited AI-Bot Summary:Unlock the secrets of futures trading and leveraged ETFs as we tackle complex investment strategies, inspired by a thought-provoking listener email from Lucas. Discover how you can master the intricacies of futures contracts, from rolling them over to navigating market conditions like backwardation and contango, without getting overwhelmed. Learn why leveraged ETFs were created to simplify leverage acquisition, and get insider recommendations on the best platforms to embark on futures trading. Martain, another keen listener, challenges us with a debate on straightforward 1.5 times equities strategy versus modern portfolio theory, leading to a rich discussion on investment approaches.Venture further into the world of leveraged risk parity portfolios and how hedge funds are using them to optimize risk-reward profiles during the accumulation phase. Comparing these advanced strategies to more straightforward leveraged S&P portfolios, we emphasize the essential role of historical data in shaping robust investment decisions. Be wary of the allure of short-term gains as we dissect the role of momentum funds in risk parity portfolios and the significance of diversification in securing stable outcomes. Through listener insights and expert analysis, this episode is a treasure trove for anyone seeking to broaden their understanding of strategic investing.Support the show

https://tradingnut.com/jordan-dejoie/ Jordan's Links

In this episode, we dive into the world of backtesting with Matt Amberson, Principal at ORATS, to uncover how data-driven insights can optimize options trading strategies. Learn how backtesting helps investors navigate uncertainty, refine entry and exit points, and predict future performance with greater confidence.   Disclosure: Options Trading Options involve risk and are not suitable for all investors. Multiple leg strategies, including spreads, will incur multiple commission charges. For more information read the "Characteristics and Risks of Standardized Options" also known as the options disclosure document (ODD) or visit ibkr.com/occ