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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 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | # pxy.py
import sys
_csv_string = '''"proxy `stoploss distance, lotsize, and margins with leverages` covering a betsize of 1 cash, commissions, swaps, spread, and more",,,,,,,,,,,,,,,,,,,,,,,,,,,,
ASSET,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
AUDCADc,minors,5,0.00071,0.02,1000,AUD,39.38,19.69,9.85,1.97,,0.00001,0.98406,0.98434,0.00028,28,,0,−0.86,0,0,−0.86,$4.13,0,−0.86,$3.50,0,−0.86
AUDCHFc,minors,5,0.00027,0.03,1000,AUD,33.64,16.82,8.41,1.68,,0.00001,0.57127,0.57136,0.00009,9,,0,−0.83,0,0,−0.83,$3.63,0,−0.83,$3.50,0,−0.83
AUDJPYc,minors,3,0.162,0.01,1000,AUD,2247.74,1123.87,561.94,112.39,,0.001,114.391,114.438,0.047,47,,0,−0.23,0,−0.01,−0.23,$3.75,−0.01,−0.23,$3.50,−0.01,−0.23
AUDNZDc,minors,5,0.00087,0.02,1000,AUD,48.18,24.09,12.05,2.41,,0.00001,1.20605,1.20635,0.00030,30,,0,−0.93,0,0,−0.93,$3.63,0,−0.93,$3.50,0,−0.93
AUDUSDc,majors,5,0.0005,0.02,1000,AUD,27.78,13.89,6.95,1.39,,0.00001,0.69822,0.69831,0.00009,9,,0,−0.19,0,0,−0.19,$3,0,−0.19,$2.50,0,−0.19
CADJPYc,minors,3,0.162,0.01,1000,CAD,2285.34,1142.67,571.34,114.27,,0.001,116.251,116.262,0.011,11,,0,−0.56,0,0,−0.56,$3.50,0,−0.56,$3.50,0,−0.56
CHFJPYc,minors,3,0.054,0.03,1000,CHF,12032.70,6016.35,3008.18,601.64,,0.001,200.237,200.307,0.070,70,,−0.76,0,0,−0.76,0,$4.13,−0.76,0,$3.50,−0.76,0
EURAUDc,minors,5,0.00072,0.02,1000,EUR,65.83,32.92,16.46,3.29,,0.00001,1.62838,1.62855,0.00017,17,,−1.24,0,0,−1.24,0,$3.75,1.24,0,$3.50,−1.24,0
EURCADc,minors,5,0.00071,0.02,1000,EUR,64.75,32.38,16.19,3.24,,0.00001,1.60260,1.60282,0.00022,22,,−0.14,−0.21,0,−0.14,−0.21,$3.50,−0.14,−0.21,$3.50,−0.14,−0.21
EURCHFc,minors,5,0.0004,0.02,1000,EUR,36.89,18.45,9.22,1.84,,0.00001,0.93027,0.93043,0.00016,16,,0,−0.75,0,0,−0.75,$6.50,0,−0.75,$3.50,0,−0.75
EURGBPc,minors,5,0.00037,0.02,1000,EUR,34.06,17.03,8.51,1.70,,0.00001,0.85331,0.85367,0.00036,36,,−0.45,0,0,−0.45,0,$5.50,−0.45,0,$3.50,−0.45,0
EURJPYc,minors,3,0.162,0.01,1000,EUR,3700.12,1850.06,925.03,185.01,,0.001,186.304,186.350,0.046,46,,0,−0.95,0,0,−0.95,$3.50,0,−0.95,$3.50,0,−0.95
EURNZDc,minors,5,0.00148,0.01,1000,EUR,39.62,19.81,9.91,1.98,,0.00001,1.96415,1.96437,0.00022,22,,0.46,−0.09,0,−0.46,−0.09,$4,−0.46,−0.09,$3.50,−0.46,−0.09
EURUSDc,minors,5,0.0005,0.02,1000,EUR,45.73,22.86,11.43,2.29,,0.00001,1.13710,1.13718,0.00008,8,,−0.6,0,0,−0.6,0,$2.50,−0.6,0,$2.50,−0.6,0
GBPAUDc,minors,5,0.00072,0.02,1000,GBP,77.26,38.63,19.32,3.86,,0.00001,1.90782,1.90816,0.00034,34,,−0.55,0,0,−0.55,0,$4.63,−0.55,0,$3.50,−0.55,0
GBPCADc,minors,5,0.00142,0.01,1000,GBP,37.99,19.00,9.50,1.90,,0.00001,1.87760,1.87803,0.00043,43,,0,−1.04,0,0,−1.04,$4.13,0,−1.04,$3.50,0,−1.04
GBPCHFc,minors,5,0.00027,0.03,1000,GBP,65.02,32.51,16.26,3.25,,0.00001,1.08989,1.09025,0.00036,36,,0,−1.37,0,0,−1.37,$6,0,−1.37,$3.50,0,−1.37
GBPJPYc,minors,3,0.081,0.02,1000,GBP,8686.24,4343.12,2171.56,434.31,,0.001,218.269,218.351,0.082,82,,0,−2.05,0,0,−2.05,$4.38,0,−2.05,$3.50,0,−2.05
GBPNZDc,minors,5,0.00058,0.03,1000,GBP,139.53,69.76,34.88,6.98,,0.00001,2.30129,2.30167,0.00038,38,,−0.19,−1.25,0,0,−1.11,$4.38,0,−1.11,$3.50,0,−1.11
GBPUSDc,majors,5,0.00021,0.04,1000,GBP,107.03,53.52,26.76,5.35,,0.00001,1.33238,1.33248,0.00010,10,,−0.13,−0.13,0,−0.13,−0.13,$3.13,−0.13,−0.13,$2.50,−0.13,−0.13
NZDJPYc,minors,3,0.041,0.04,1000,NZD,7473.12,3736.56,1868.28,373.66,,0.001,94.835,94.878,0.043,43,,0,−0.71,0,0,−0.71,$3.50,0,−0.71,$3.50,,−0.71
NZDUSDc,minors,5,0.00033,0.03,1000,NZD,34.54,17.27,8.63,1.73,,0.00001,0.57896,0.5791,0.00014,14,,−0.3,0,0,−0.3,0,$4.50,−0.3,0,$3.50,−0.3,0
USDCADc,minors,5,0.00035,0.04,1000,USD,113.30,56.65,28.32,5.66,,0.00001,1.40929,1.40952,0.00023,23,,0,−0.8,0,0,−0.8,$3.50,0,−0.8,$3.50,0,−0.8
USDCHFc,majors,5,0.00027,0.03,1000,USD,48.61,24.31,12.15,2.43,,0.00001,0.81807,0.8182,0.00013,13,,0,−0.95,0,0,−0.95,$5.25,0,−0.95,$3.50,0,−0.95
USDJPYc,majors,3,0.054,0.03,1000,USD,9741.18,4870.59,2435.30,487.06,,0.001,163.842,163.86,0.018,18,,0,−1.46,0,0,−1.46,$2.50,0,−1.46,$2.50,0,−1.46
XAGUSDc,metals,3,0.02,0.01,50,XAG,57.90,28.95,14.48,2.90,,0.001,58.210,58.24,0.030,30,,-7.6,0,null,null,null,null,null,null,null,null,null
XAUUSDc,metals,3,0.999,0.01,1,XAU,81.01,40.50,20.25,4.05,,0.001,4052.772,4053.012,0.240,240,,-48.28,0,null,null,null,null,null,null,null,null,null'''
# ----------------------------------------------------------------------
# Parse CSV once at import
# ----------------------------------------------------------------------
lines = _csv_string.strip().splitlines()
header = lines[1].split(',') # column names
data_rows = [dict(zip(header, line.split(','))) for line in lines[2:]]
data = {row['ASSET']: row for row in data_rows} # asset -> row dict
# All column names are already valid Python identifiers, so we can use them directly
columns = header # we can just use the list, but for faster lookup we'll keep a set
# ----------------------------------------------------------------------
# The proxy class – intercepts attribute access and returns a lookup function
# ----------------------------------------------------------------------
class Proxy:
def __getattr__(self, name):
if name not in columns:
raise AttributeError(
f"'{name}' is not a valid column. Available: {', '.join(columns[:5])}..."
)
def lookup(asset):
if asset not in data:
raise KeyError(
f"Asset '{asset}' not found. Available: {', '.join(list(data.keys())[:5])}..."
)
return data[asset][name]
return lookup
# Replace the module with an instance of the proxy
sys.modules[__name__] = Proxy()
# ----------------------------------------------------------------------
# sample dummy.py
# ----------------------------------------------------------------------
"""
# Function call exampple format: `pxy.column('ASSET')`
import pxy
# Examples
stoploss_distance = pxy.proxy_stoploss_distance_covering_1_cash('NZDJPYc')
print(stoploss_distance) # 0.041
dec_of_AUDJPYc = pxy.true_decimal_digits('AUDJPYc')
print(dec_of_AUDJPYc) # 3
margin_100 = pxy.proxy_margin_with_leverage_1000_covering_1_cash('EURUSDc')
print(margin_100) # 22.86
"""
# ----------------------------------------------------------------------
# all ASSET for function call `pxy.column('ASSET')`
# ----------------------------------------------------------------------
"""
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 `pxy.column('ASSET')`
# ----------------------------------------------------------------------
"""
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 `pxy.column('ASSET')` will get the value of a cell of the input column with its corresponding ASSET
# ---------------------------------------------------------------------- |