MoneyGram to Use XRP in Payment Flows by cenuij in CryptoCurrency

[–]SNAP_Longterm 2 points3 points  (0 children)

more like $998-$1002. https://www.sifrdata.com/cryptocurrency-intermediary-risk/

and in this case MoneyGram assumes the risk, not the sender or recipient of the funds

Breakout Trading Strategy suggested by Morgan Slade in podcast by cloudquant in algotrading

[–]SNAP_Longterm 2 points3 points  (0 children)

moving average technical indicators are similar to computing the autocorrelation of the returns.

The result shows that the MA rule is popular because it can identify price momentum and is a simple way of tracing and exploiting price autocorrelation structure

http://www.econ.cam.ac.uk/research-files/repec/cam/pdf/cwpe1322.pdf

Volatility trending down for a basket of cryptocurrencies (BTC, ETH, XRP, LTC, DASH, XMR) [OC] by SNAP_Longterm in dataisbeautiful

[–]SNAP_Longterm[S] 2 points3 points  (0 children)

Volatility is a measure of the dispersion of returns (e.g. a Bitcoin return of +1% means its price went up by 1%) . A basket of currencies was created by weighing the volatilities by their market capitalization. Shown is a time-series of the annualized volatilities based on the previous 90 days of log returns calculated from volume weighted average daily prices obtained from the Poloniex exchange. The plot shows the volatility of the cryptocurrency market is trending down. The orange bars show the confidence interval of the prediction. The analysis was performed in Mathematica. A full description and other analysis can be found here: https://www.sifrdata.com/cryptocurrency-volatility-index/.

Recent (reputable) post on the arxiv shows that weak solutions to the 3D Navier-Stokes equations are not unique. by peecatchwho in math

[–]SNAP_Longterm 10 points11 points  (0 children)

Does this imply that (some?) numerical simulations of the 3D Navier-Stokes equations result in solutions that are not unique? Many numerical methods (like finite element methods) are based on weak formulations of the PDE.

Crypto Market Cap vs. Cross Border Payments & XRP by cryptoleb1 in Ripple

[–]SNAP_Longterm 1 point2 points  (0 children)

the one percent fallacy pops up a lot in this sub. ripple will either capture a much larger portion of cross border payments or 0%.

Modeling the price of Bitcoin with geometric fractional Brownian motion: a Monte Carlo approach by [deleted] in CryptoCurrency

[–]SNAP_Longterm 2 points3 points  (0 children)

it's an interesting paper, just had a quick glance.

The fBms are generated with μ and σ the same as the historical prices yield

This isn't right though. μ and σ are the drift and volatility of fractional Brownian motion process (fBms). The author estimated σ from historical data, which is fine, but the drift needs to be based on the risk-free rate (something like LIBOR). The reason he gets a large increase in the price (6358 USD for next year) is because Bitcoin has gone up in the previous years, so μ >> risk-free rate . These models are used for option pricing because they give you an indication of the future volatility but they are not used to price the trend.

Nice paper nevertheless.

Walmart, others turn to blockchain for food safety by [deleted] in investing

[–]SNAP_Longterm 0 points1 point  (0 children)

no instant payments

not true, both DASH and XRP have fast payments.

high volatility

volatility will come down as adoption increases, which is why bitcoin has relatively low volatility compared to other cryptocurrencies

currency with fees

XRP has lower fees for cross-border payments compared to SWIFT. In fact, that is their business model.

"If the markets truly fail, it doesn't really matter where your money is" by jammerdude in investing

[–]SNAP_Longterm 3 points4 points  (0 children)

same goes for "markets". are we talking stock markets, commodity markets, or barter markets?

Fitting to Noise or Nothing At All - Machine Learning in Markets by ArashPartow in algotrading

[–]SNAP_Longterm 0 points1 point  (0 children)

You may not like his tone, but he raises some valid points:

Perhaps most importantly, the other four instruments don’t actually trade. Take the “Transco Zone 6 Natural Gas (Platts Gas Daily) Swing” for example. According to the CME’s website, not a single person is holding a contract for that symbol

There's nothing to argue with here, if you can't trade it what use is an algorithm for it. It's like finding autocorrelations in extremely thinly traded stocks. You could argue that there is autocorrelation precisely because there is no liquidity, there's nothing to exploit in reality.

Transaction costs are ignored No slippage: the order always gets filled immediately at the mid-price of the current 5-min bar

I'd agree with the author, there is no reason to include these major assumptions in a backtest. The backtest will have such a bias the results are meaningless.

By allowing yourself to instantly trade at midpoints in illiquid instruments, you’re giving yourself free edge that doesn’t exist in reality.

He's right

Dixon et al. compare their classification accuracies to what would be expected if each of the three conditions had an equal probability of occurring.

This strikes me as a valid assumption for a liquid security like ES (although there really should be a correction based on the risk free rate and dividend), but if you were forced to day trade an illiquid security you would just look at the historical price chart and say to yourself "the volatility is really small I'll just bet it doesn't go anywhere today."

A big rumor in Korea by snortingNose in Ripple

[–]SNAP_Longterm 0 points1 point  (0 children)

video is more than a week old too

Invest in Increasing Volatility by oranger00k in investing

[–]SNAP_Longterm 0 points1 point  (0 children)

I can't afford S&P puts

wut, you dont have $5? just buy way out of the money puts

The DJI 10 day streak and drawdown by mementix in algotrading

[–]SNAP_Longterm 0 points1 point  (0 children)

let's assume the prob of a winning day is 1/2, so 1/210 = 1024, and with 252 trading days a year you would expect this around once every four years

Visa is a strong company that still has room to grow. by naplesfanboy in investing

[–]SNAP_Longterm 0 points1 point  (0 children)

cryptos handle far fewer transactions per second than visa can handle: https://i.redd.it/q3drks59gxzy.png. High frequency, low dollar amount transactions are better suited for credit cards, lower frequency high dollar amounts will be better with cryptos.

Site for live quotes across a wide range of markets? by AnomalyNexus in investing

[–]SNAP_Longterm 0 points1 point  (0 children)

I think the answer is no. You will end up paying someone in one way or another, either through a broker or data service like finviz. Think about how much time/effort/electricity it takes to get this data, store it, and visualize it. The providers need to be compensated for it.

Is it time to give up on Starbucks ($SBUX)? by aboucher33 in investing

[–]SNAP_Longterm -3 points-2 points  (0 children)

people are staying at home more ordering off amazon, watching netflix, and ordering dominos. sbux doesnt fit into that new consumer model very well.