Advanced Market Theory

Lessons in this module

1. 10.1

   Elliott waves: basics and wave counting

   Learn the basic Elliott wave count

   15 minAccess in Telegram

2. 10.2

   The Wyckoff method: accumulation and distribution phases

   Recognize accumulation and distribution phases using the Wyckoff method

   15 minAccess in Telegram

3. 10.3

   Multi-timeframe analysis and confluence

   Match signals across timeframes to improve accuracy

   13 minAccess in Telegram

4. 10.4

   Correlations: BTC dominance, alts vs BTC, crypto vs DXY/S&P 500

   Take intermarket correlations into account when making decisions

   14 minAccess in Telegram

5. 10.5

   Paralysis by analysis: the mistake of mixing indicators

   Avoid overanalysis and learn to limit your set of tools

   11 minAccess in Telegram

6. 10.6

   Confirmation on the higher-timeframe close

   Tell a higher-timeframe value that will still change apart from a closed one, and understand the trade-off: confirmation removes repainting but arrives late

   13 minAccess in Telegram

7. 10.7

   A weighted signal quality score

   Combine filters into one number and check that each term can actually change: a factor that is at its maximum on every signal shown only inflates the score

   13 minAccess in Telegram

8. 10.8

   Feature families instead of a pile of terms

   Build the score by groups (structure, volume, context, regime) and cap each group's contribution so that twenty small pluses do not outweigh one important minus

   13 minAccess in Telegram

9. 10.9

   Event arbitration: which one leads

   Choose one leading event per bar instead of adding them all up, and understand why a contradicting event needs a penalty

   14 minAccess in Telegram

10. 10.10

    A penalty for duplicate confirmations

    Tell independent confirmations apart from the same thing retold in different words: five features of the same nature are still one feature

    12 minAccess in Telegram

11. 10.11

    A penalty for piling up reasons

    Understand why six reasons to enter are worse than two: when there are too many reasons, it usually means you are talking yourself into a trade rather than reading the market

    13 minAccess in Telegram

12. 10.12

    SMT: divergence between related instruments

    Catch the moment when one instrument makes a new extreme and a related one does not, and understand why you should compare pivots over a window rather than neighboring bars

    14 minAccess in Telegram

13. 10.13

    Relative strength against a benchmark

    Measure which side of a pair is leading: return over a window against the benchmark's return, smoothed, with a significance threshold

    12 minAccess in Telegram