Decentralized meta-learning
  • Bitcoin
    4. Segwit transaction 3. Segwit address 2. Bitcoin transaction 1. Bitcoin address
  • Cryptography
    RSA ElGamal ECDSA Schnorr EC-Schnorr Zero knowledge proofs Elliptic curves Commitment schemes Hash functions BLS
  • Coins
    Ethereum address Monero address Iota address
  • Emacs
    Completion system In-file navigation Files/buffers navigation From Jekyll to Hugo Organizing work/life projects
  • Finance
    Interest Rate Black-Scholes formula Options Greeks Historical Volatility Linear & Log Returns Risk-adjusted metrics
  • Linux
    3. Use Linux kernel module 2. Config Linux kernel module 1. Write Linux kernel module From HDD to SSD w/ EFI Back to my first love Package management Config management SSH keys on USB Firewall, monitor, ban. Repeat. Wildcard SSL certificate 1. Personal Email server 2. Personal DNS server 3. Personal VPN server
  • Math
    Complexities with graphs Algebraic structures Ternary (Trinary) system Bias vs. variance
  • Open Source
    Bitmex-API Actihunt Deribit-API 3DP Huveragy G2: web app
  • Trading
    Weekly Monthly Close Outlier changes alert Month Breaks COVID-19 indicators Hedge Fund Market Wizards book Session breaks Whale alert New Market Wizards book Price breaks indicator Chess vs Trading Reminiscences of ... a loss
  • Travel
    4. G2: aftermath 3. G2: compare gear 2. G2: gear list 1. G2: training plan First USA visit Coworking spaces High-end Maldives Diving Palawan Backpacking Vietnam Surviging Bali 1. Annapurna Circuit: the plan 2. Annapurna Circuit: the gear 3. Annapurna Circuit: the training 4. Annapurna Circuit: the afthermath
  • Tags
  • About
Decentralized meta-learning

XLMUSD

Slices of Bitcoin

Trading

 Posted on May 31, 2019  |  1 minutes  |  74 words  |  

My second TradingView indicator in this series is Slices of Bitcoin, a very simple indicator that shows how many times a currency fits into Bitcoin. Here is the source code.

[Read More]
tradingview  trading  indicator  stellar  XLMUSD 

 • © 2024  •  Decentralized meta-learning

Hugo v0.139.0 powered  •  Theme Beautiful Hugo adapted from Beautiful Jekyll