File size: 2,660 Bytes
0425a43 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | # The Proxy Quotes (pxyq) library
includes a fuction for calling the cell value with respect to a column and row of the csv dataset table. It calls for proxy `stoploss distance, lotsize, and margins with leverages covering a betsize of 1 cash, commissions, swaps, spread,` and more. It only have one simple function call, and that is `pxyq.column('ASSET')`.
- step 1: make sure you have `pxyq.py` in your directory. No need pip installations.
- step 2: make an `import pxyq` is written on top of your code.
- step 3: try calling the cell value by using the fuction call `pxyq.column('ASSET')`.
The CSV file contents are in `dataset.csv`, and the only main python library is `pxyq.py`.
---
# Sample dummy.py
##Function call exampple format: `pxyq.column('ASSET')`
```python
import pxyq
# Examples
stoploss_distance = pxyq.proxy_stoploss_distance_covering_1_cash('NZDJPYc')
print(stoploss_distance) # 0.041
dec_of_AUDJPYc = pxyq.true_decimal_digits('AUDJPYc')
print(dec_of_AUDJPYc) # 3
margin_100 = pxyq.proxy_margin_with_leverage_1000_covering_1_cash('EURUSDc')
print(margin_100) # 22.86
```
---
# All ASSET for function call `pxyq.column('ASSET')`
```txt
AUDCADc
AUDCHFc
AUDJPYc
AUDNZDc
AUDUSDc
CADJPYc
CHFJPYc
EURAUDc
EURCADc
EURCHFc
EURGBPc
EURJPYc
EURNZDc
EURUSDc
GBPAUDc
GBPCADc
GBPCHFc
GBPJPYc
GBPNZDc
GBPUSDc
NZDJPYc
NZDUSDc
USDCADc
USDCHFc
USDJPYc
XAGUSDc
XAUUSDc
```
---
# All columns for function call `pxyq.column('ASSET')`
```txt
category
true_decimal_digits
proxy_stoploss_distance_covering_1_cash
proxy_lotsize_covering_1_cash
true_contract_size
true_contract_type
proxy_margin_with_leverage_50_covering_1_cash
proxy_margin_with_leverage_100_covering_1_cash
proxy_margin_with_leverage_200_covering_1_cash
proxy_margin_with_leverage_1000_covering_1_cash
true_tick_size
proxy_bid_price
proxy_ask_price
proxy_spread_in_ticks
proxy_spread_in_pips
proxy_long_swap_in_pips_for_standard_accounts
proxy_short_swap_in_pips_for_standard_accounts
proxy_commission_per_lot_per_side_for_pro_accounts
proxy_long_swap_in_pips_for_pro_accounts
proxy_short_swap_in_pips_for_pro_accounts
proxy_commission_per_lot_per_side_for_zero_accounts
proxy_long_swap_in_pips_for_zero_accounts
proxy_short_swap_in_pips_for_zero_accounts
proxy_commission_per_lot_per_side_for_rawspread_accounts
proxy_long_swap_in_pips_for_rawspread_accounts
proxy_short_swap_in_pips_for_rawspread_accounts
```
# NOTE: the function call `pxyq.column('ASSET')` will get the value of a cell of the input column with its corresponding input ASSET (or the row)
# Author: algorembrant |