85 Matching Annotations
  1. May 2025
  2. Jan 2023
    1. There are no existing augmentation techniques that can correct adataset that has very poor diversity with respect to the testing data. All these augmenta-tion algorithms perform best under the assumption that the training data and testingdata are both drawn from the same distribution.

      Important border to where these can be applied!

  3. Jan 2022
    1. Conclusion

      It might be me, but I was missing a section on possible future directions and the drawbacks of using this model. Noticed that there was a lot of praise, but couldn't find a lot of critiques. (Or I might overseen it as I'm writing this at half 4 in the morning.)

      Normally, you could find the published reviews on OpenReview with the discussed critique (see: https://papers.nips.cc/paper/2016/file/fb87582825f9d28a8d42c5e5e5e8b23d-Reviews.html which I used for another repro course), but when googling on this paper, I couldn't find it :(

      Either way, here's the OR link to the current paperhttps://openreview.net/forum?id=FOL6UA7JYtk)

  4. Nov 2021
    1. gure 26.8

      The trader adopting this strategy believes in some sort of range, since once the stop price of the buy stop is reached, I believe that it triggers a limit buy order below the market or at least at the market

    2. At extremely high levels of leverage, the concept of aggressiveness and conservativeness with respect to the price on entry or exit di-minishes rapidly

      Because with a small capital, one can create a large margin position => sheer capital invested is no longer significant due to leverage

    3. It should also be noted that the longer it takes for a consolidation to unfold, the larger will be the number of potential buy stop orders that lie above the resistance zone and sell stop orders that populate just below the support zone. This explains why larger consolidations tend to produce stronger and more persistent breakouts

      buy stop orders place limit orders at the support, soif a lot of stop buy orders are triggered ,this places manylimit orders at support, and allows price to rebound strongly enough to pierce through the resistance

    4. gets may also be obtained based on the parallelogram itself

      cf. Fig. 13.37, where we project the objective price targets based on the parallelogram and not on the pole !

    5. igure 11.22

      MACD represented as a histogram instead of a curve/line as of usually. But we see that each time the MACD signal line crosses the MACD (represented as a histogram), the MACD histogram is equal to zero !!

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  5. Oct 2021
    1. logarithmic‐ or arithmetic‐scaled chart is employed

      For static, both work since it only depends on the price, so we can determine it numerically. However, since fan lines are dynamic, they depend on price AND time, so we can't just determine the levels numerically.

    2. Figure 10.26

      SEE page 377 of paper version for detailed graphs

      We put 100% between A and B because we look at the extension level beyond B so x% with x>=100%

      Also, we start hte Fibonacci extension at point A instead of B even though B is located earlier in time than A since A is a trough and B is a peak and it would be highly unconventional to pull Fibonacci levels from B to A

    3. This is because volume oscillators are constructed to take into account price

      Explanation of why volume indicators are analyzed using standard and reverse divergences instead of volume, open interest and ATR.

    4. The rules for interpreting divergence are markedly different when it comes to vol-ume bar action, open interest, and average true range (ATR)

      Remember this when reading the next sections on divergence !! Not the same interpretation at all as for the other supporting data series !!

    5. thE hAnDbook of tEchnicAL AnALySiS292In general terms, basic reverse divergence occurs when: ■ Only price, and not the supporting data series, is making equal or lower peaks (based on adjacent peak to peak analysis) ■ Only price, and not the supporting data series, is making equal or higher troughs (based on adjacent trough to trough analysis).

      cf. last note

    6. 1. Price is making higher peaks while the oscillator is making lower peaks 2. Price is making higher peaks while the oscillator is making equal peaks 3. Price is making equal peaks while the oscillator is making lower peaks

      Here, the price only makes higher or equal peaks -> lower peaks is for reverse divergence -> called "reverse divergence" since we start by giving the direction of the oscillator (only up or equal) and subsequently we give the direction of the price.

    7. True Range Action of the Daily Chart of Gold. Source: MetaTrader 4

      L'ATR est très "non smooth" car on n'utilise qu'une lookback period de 1. Si on faisait la moyenne mobile sur plus d'une période, il serait plus smooth.

    8. Rising and declin-ing volume provide useful information about the level of interest or participation at various prices and indicate whether an ongoing trend is bearish or bullish

      Cf. ce qui a été dit au chap 4 sur l'intérêt des participants du marché et l'impact sur le volume.

    9. Volume Blow‐Offs

      Quand ca commence à omnter, il faut que le volume monte aussi, sinon on considère que ce n'est pas un uptrend, mais juste une correction. Pareil opur quand ça descend, il faut du volume pour accompagner la baisse :

    10. give earlier trend change signals

      Uptrend lines are violated sooner since logarithm tends to rapprocher les points éloignés arithmétiquement (de manière non linéaire, d'où la cassure de la ligne de tendance plus tôt)

    11. The pricing of all known information need not be instantaneous or be driven by rational participants. There is also no requirement that all participants always act on all information all of the time, or that they react in the same manner.

      Difference with EMH

    12. he mechanism by which information is known to the market is that of actual participation via capital injection.

      This means that any information is accounted for by capital injection

    13. Markovian condition

      In the sense that the possibilities for future price are given by current price, but there is then no way to predict which possibilty will be chosen. E.g. random walk in Z^2, if we're wurrently at a certian point, we have 4 possibilities for next move which are equiprobable

    14. Efficient Market Adjusting to New Information

      No insider information that would be discounted by the price, nor irrational behaviours like selling on a bullish news

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  6. Aug 2021
    1. Now some people may just say “Pffft… just get up earlier and do it”. Clearly those people don’t understand how much I love to get up as late as I can afford in the mornings, those moments between asleep and ‘Fuck, I have to go to work’ are few, and precious my friends.

      I resemble this remark...

  7. Oct 2020
  8. Dec 2017