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LOGARITHMIC

Introduction to a Trading System 1: Setting timeframes + bonusIntroduction to a Trading System: Setting Timeframes & Logarithmic Scaling This educational video is the first in the "Signal and Structure" series, where an experienced crypto trader with 5+ years in cryptocurrency and additional forex background shares their systematic approach to chart analysis and trading. Key Topics Covered: Logarithmic Scale Fundamentals - Why log scale is essential for cryptocurrency trading - How it provides better perspective on price movements across different time periods - Demonstrates using Bitcoin's price history how log scale reveals the true magnitude of moves and shows market maturation Strategic Timeframe Selection System - Introduces a unique 5-timeframe system based on dividing by 4: - Monthly (30 days) - the base unit - Weekly (≈30÷4 days) - 2-Day (≈week÷4) - 12-Hour (48 hours÷4) - 3-Hour (12÷4) Trading Philosophy - Emphasizes simplification over complexity in trading - Explains why using non-standard timeframes (2-day instead of daily) provides an edge - Discusses how higher timeframes show cleaner structure while lower timeframes display more chaos - Advocates for making trading easier by reducing noise and confusion Practical Insights - Higher timeframes (monthly/weekly) show more reliable patterns and are watched by institutional traders - Lower timeframes become increasingly chaotic but still contain tradeable patterns - The importance of stepping back to see the bigger picture in markets The instructor brings a unique perspective influenced by classic traders like Gann and Wyckoff, and has developed over 140 custom indicators for their trading system. The video sets the foundation for understanding market structure before diving into signals and trading strategies in future episodes.
Education
by StructureAndSignal
2
Bitcoin: The Short and Long (Term) ViewI want to give a video breakdown of my last Tradingview post which did very well as an Editor's Pick. Commentors posed some very good questions that deserve detailed explanations. First, I talk about the confluence of three major levels of Resistance that setup last week and remained the overhead Resistance of INDEX:BTCUSD Bitcoin this week (and possibly in the short term). Finally, lest I be accused of being TOO BEARISH... my LONG TERM view (going out for the next decade and beyond) using logarithmic projections of Bitcoin price action to define the Risk and Reward of a long term (2030 and beyond) investment. When Bitcoin is a good and not-so-good value proposition.
INDEX:BTCUSDShort
by norok
4
ETH - MACRO Multi-Month Logarithmic Target📉Hi Traders, Investors and Speculators of Charts📈 I've made a few updates on BTC from a macro perspective, but let's take a look at ETH today. What we specifically want to focus on is potential targets / bounce zones, and we'll use the logarithmic weekly recession t get to these targets. From using the same timeframe as the previous bull season, and by using the same pivot points, we get a $20K target on ETH - a possibility for later this year: Shorter and mid-term targets could include: Here's the update on BTC, incase you missed it: _______________________ 📢Follow us here on TradingView for daily updates📢 👍Hit like & Follow 👍 CryptoCheck BITSTAMP:ETHUSD
BITSTAMP:ETHUSDLong
by Crypto-Check-
1
The Ace Spectrum as a Template for Support ProjectionDemonstrating the big idea: That straight lines in log-space form exponential curves. This property of the log chart is useful for examining assets with exponential growth (like high-growth stocks, cryptos, etc). Because the log scale asymptotically approaches the absolute scale as y slice decreases, this indicator is really applicable to any time scale. This indicator samples a distribution of lines from the past and projects them into the future, these projected lines form indicators of prior support. The idea is longer support at those specific lines is indicative of support strength, which this indicator approximately captures. My initial goal was to capture this intuition about exponential growth in log spaces by applying a monte-carlo style sampling approach to visualize the latent support lines. After I had captured that in a slightly more complex version of this indicator, my goal was to distill the concept into the simplest possible implementation.
NASDAQ:AAPLEducation
by sheganinans
15