miohtama

miohtama

miohtama

#!/bin/bash
#
# switch-to-homebrew-ssh-agent.sh
#
# Switches macOS to use the Homebrew OpenSSH ssh-agent (which supports
# FIDO2/sk keys like ed25519-sk) instead of Apple's bundled agent.
#
#   - Installs a launchd user agent running the Homebrew ssh-agent on a
#     fixed socket at ~/.ssh/agent.sock
#   - Disables Apple's com.openssh.ssh-agent for your user

miohtama

curl -X POST -H "Content-Type: application/json" \
    --data '{
      "jsonrpc": "2.0",
      "method": "eth_call",
      "params": [
        {
          "to": "0xcA11bde05977b3631167028862bE2a173976CA11",
          "data": "399542e9000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000400000000000000000000000000000000000000000000000000000000000000028000000000000000000000000000000000000000000000000000000000000050000000000000000000000000000000000000000000000000000000000000005a0000000000000000000000000000000000000000000000000000000000000062000000000000000000000000000000000000000000000000000000000000006a0000000000000000000000000000000000000000000000000000000000000074000000000000000000000000000000000000000000000000000000000000007e0000000000000000000000000000000000000000000000000000000000000086000000000000000000000000000000000000000000000000000000000000008e000000000000000000000000000000000000000000000000000000000000009800000000000000000000000

miohtama

import json
import math
from datetime import datetime, timedelta
from decimal import Decimal
from enum import Enum
from typing import Collection, Mapping
from uuid import UUID

import pandas as pd
from dataclasses_json.core import Json

miohtama

# github.com/tradingstrategy-ai/web3-ethereum-defi

from eth_defi.gmx.create_increase_order import IncreaseOrder

from eth_defi.gmx.trading import GMXTrading
from eth_defi.provider.multi_provider import create_multi_provider_web3
from eth_defi.gmx.config import GMXConfig
from eth_defi.hotwallet import HotWallet
from eth_account import Account
import os

miohtama

You can append data to a Parquet dataset in PyArrow by using the `pyarrow.parquet.write_to_dataset()` function and setting the `existing_data_behavior` parameter to `'overwrite_or_append'`.

This function writes new Parquet files to the dataset directory. If the data belongs to a new partition, a new partition directory is created. If it belongs to an existing partition, a new file is added to that partition's directory.

-----

### \#\# How It Works

The key is the `existing_data_behavior` argument, which tells PyArrow how to handle the new data in relation to any data already at the destination.

miohtama

#!/bin/bash
#
# Set up a founry for local development, using faster dev profile for compilation
# 

PROFILE=dev

# You need to delete the existing forge etc. commands, because even 
# if the cargo install says "replacing" they did not really seem to replace and 
# some old version was left around.

miohtama

"""Compare GRVT CCXT-compatibility API with a known similiar decentralised perp exchange.

- Run the same CCXT API functions against know decentralised perp exchange and GRVT
  and compare the results
"""
import logging
import os
from pprint import pprint

import ccxt

miohtama

@indicators.define(dependencies=[ath, ath, daily_rsi])
def signal(
    close: pd.Series, 
    ath_delay_bars: int,
    ath_window_bars: int,
    ath_threshold: float,
    ath_span: int,
    daily_rsi_bars: int,
    daily_rsi_threshold: float,
    pair: TradingPairIdentifier,