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njit_clock.py
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njit_clock.py
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from __future__ import annotations
import os
import numpy as np
from njit_funcs import (
calc_pnl_long,
calc_pnl_short,
calc_new_psize_pprice,
qty_to_cost,
cost_to_qty,
calc_ema,
round_dn,
round_up,
round_,
calc_bankruptcy_price,
calc_close_grid_long,
calc_close_grid_short,
calc_min_entry_qty,
find_entry_qty_bringing_wallet_exposure_to_target,
calc_delay_between_fills_ms_bid,
calc_delay_between_fills_ms_ask,
calc_clock_qty,
)
if "NOJIT" in os.environ and os.environ["NOJIT"] == "true":
print("not using numba")
def njit(pyfunc=None, **kwargs):
def wrap(func):
return func
if pyfunc is not None:
return wrap(pyfunc)
else:
return wrap
else:
print("using numba")
from numba import njit
@njit
def calc_clock_price_bid(lower_ema_band, highest_bid, ema_dist_lower, price_step):
return min(highest_bid, round_dn(lower_ema_band * (1 - ema_dist_lower), price_step))
@njit
def calc_clock_price_ask(upper_ema_band, lowest_ask, ema_dist_upper, price_step):
return max(lowest_ask, round_up(upper_ema_band * (1 + ema_dist_upper), price_step))
@njit
def calc_clock_entry_long(
balance: float,
psize_long: float,
pprice_long: float,
highest_bid: float,
emas: float,
utc_now_ms: float,
prev_clock_fill_ts_entry: float,
inverse: bool,
qty_step: float,
price_step: float,
min_qty: float,
min_cost: float,
c_mult: float,
ema_dist_entry: float,
qty_pct_entry: float,
we_multiplier_entry: float,
delay_weight_entry: float,
delay_between_fills_ms_entry: float,
wallet_exposure_limit: float,
) -> (float, float, str, float, float):
if psize_long == 0.0 or utc_now_ms - prev_clock_fill_ts_entry > calc_delay_between_fills_ms_bid(
pprice_long,
highest_bid,
delay_between_fills_ms_entry,
delay_weight_entry,
):
wallet_exposure_long = qty_to_cost(psize_long, pprice_long, inverse, c_mult) / balance
if wallet_exposure_long < wallet_exposure_limit * 0.99:
# entry long
bid_price_long = calc_clock_price_bid(emas.min(), highest_bid, ema_dist_entry, price_step)
qty_long = calc_clock_qty(
balance,
wallet_exposure_long,
bid_price_long,
inverse,
qty_step,
min_qty,
min_cost,
c_mult,
qty_pct_entry,
we_multiplier_entry,
wallet_exposure_limit,
)
new_psize_long, new_pprice_long = calc_new_psize_pprice(
psize_long, pprice_long, qty_long, bid_price_long, qty_step
)
wallet_exposure_after_fill = (
qty_to_cost(new_psize_long, new_pprice_long, inverse, c_mult) / balance
)
if wallet_exposure_after_fill > wallet_exposure_limit * 1.01:
qty_long = find_entry_qty_bringing_wallet_exposure_to_target(
balance,
psize_long,
pprice_long,
wallet_exposure_limit,
bid_price_long,
inverse,
qty_step,
c_mult,
)
if qty_long != 0.0:
qty_long = max(
qty_long,
calc_min_entry_qty(
bid_price_long, inverse, c_mult, qty_step, min_qty, min_cost
),
)
new_psize_long, new_pprice_long = calc_new_psize_pprice(
psize_long, pprice_long, qty_long, bid_price_long, qty_step
)
if qty_long > 0.0:
return (qty_long, bid_price_long, "clock_entry_long", new_psize_long, new_pprice_long)
return (0.0, 0.0, "clock_entry_long", 0.0, 0.0)
@njit
def calc_clock_close_long(
balance: float,
psize_long: float,
pprice_long: float,
lowest_ask: float,
emas: float,
utc_now_ms: float,
prev_clock_fill_ts_close: float,
inverse: bool,
qty_step: float,
price_step: float,
min_qty: float,
min_cost: float,
c_mult: float,
ema_dist_close: float,
qty_pct_close: float,
we_multiplier_close: float,
delay_weight_close: float,
delay_between_fills_ms_close: float,
wallet_exposure_limit: float,
):
if psize_long > 0.0:
delay = calc_delay_between_fills_ms_ask(
pprice_long, lowest_ask, delay_between_fills_ms_close, delay_weight_close
)
if utc_now_ms - prev_clock_fill_ts_close > delay:
ask_price_long = calc_clock_price_ask(emas.max(), lowest_ask, ema_dist_close, price_step)
wallet_exposure_long = qty_to_cost(psize_long, pprice_long, inverse, c_mult) / balance
qty_long = min(
psize_long,
calc_clock_qty(
balance,
wallet_exposure_long,
ask_price_long,
inverse,
qty_step,
min_qty,
min_cost,
c_mult,
qty_pct_close,
we_multiplier_close,
wallet_exposure_limit,
),
)
if qty_long > 0.0:
if round_(psize_long - qty_long, qty_step) < calc_min_entry_qty(
ask_price_long, inverse, c_mult, qty_step, min_qty, min_cost
):
# close whole pos; include leftovers
return (-psize_long, ask_price_long, "clock_close_long")
return (-qty_long, ask_price_long, "clock_close_long")
return (0.0, 0.0, "clock_close_long")
@njit
def calc_clock_entry_short(
balance: float,
psize_short: float,
pprice_short: float,
lowest_ask: float,
emas: float,
utc_now_ms: float,
prev_clock_fill_ts_entry: float,
inverse: bool,
qty_step: float,
price_step: float,
min_qty: float,
min_cost: float,
c_mult: float,
ema_dist_entry: float,
qty_pct_entry: float,
we_multiplier_entry: float,
delay_weight_entry: float,
delay_between_fills_ms_entry: float,
wallet_exposure_limit: float,
) -> (float, float, str, float, float):
if psize_short == 0.0 or utc_now_ms - prev_clock_fill_ts_entry > calc_delay_between_fills_ms_ask(
pprice_short, lowest_ask, delay_between_fills_ms_entry, delay_weight_entry
):
wallet_exposure_short = qty_to_cost(psize_short, pprice_short, inverse, c_mult) / balance
if wallet_exposure_short < wallet_exposure_limit * 0.99:
# entry short
ask_price_short = calc_clock_price_ask(emas.max(), lowest_ask, ema_dist_entry, price_step)
qty_short = -calc_clock_qty(
balance,
wallet_exposure_short,
ask_price_short,
inverse,
qty_step,
min_qty,
min_cost,
c_mult,
qty_pct_entry,
we_multiplier_entry,
wallet_exposure_limit,
)
new_psize_short, new_pprice_short = calc_new_psize_pprice(
-abs(psize_short), pprice_short, qty_short, ask_price_short, qty_step
)
wallet_exposure_after_fill = (
qty_to_cost(new_psize_short, new_pprice_short, inverse, c_mult) / balance
)
if wallet_exposure_after_fill > wallet_exposure_limit * 1.01:
qty_short = -find_entry_qty_bringing_wallet_exposure_to_target(
balance,
psize_short,
pprice_short,
wallet_exposure_limit,
ask_price_short,
inverse,
qty_step,
c_mult,
)
if qty_short != 0.0:
qty_short = -max(
abs(qty_short),
calc_min_entry_qty(
ask_price_short, inverse, c_mult, qty_step, min_qty, min_cost
),
)
new_psize_short, new_pprice_short = calc_new_psize_pprice(
-abs(psize_short), pprice_short, qty_short, ask_price_short, qty_step
)
if qty_short != 0.0:
return (
-abs(qty_short),
ask_price_short,
"clock_entry_short",
-abs(new_psize_short),
new_pprice_short,
)
return (0.0, 0.0, "clock_entry_short", 0.0, 0.0)
@njit
def calc_clock_close_short(
balance: float,
psize_short: float,
pprice_short: float,
highest_bid: float,
emas: float,
utc_now_ms: float,
prev_clock_fill_ts_close: float,
inverse: bool,
qty_step: float,
price_step: float,
min_qty: float,
min_cost: float,
c_mult: float,
ema_dist_close: float,
qty_pct_close: float,
we_multiplier_close: float,
delay_weight_close: float,
delay_between_fills_ms_close: float,
wallet_exposure_limit: float,
):
psize_short = abs(psize_short)
if psize_short > 0.0:
pprice_diff_short = (highest_bid / pprice_short - 1) if pprice_short > 0.0 else 0.0
delay = calc_delay_between_fills_ms_bid(
pprice_short, highest_bid, delay_between_fills_ms_close, delay_weight_close
)
if utc_now_ms - prev_clock_fill_ts_close > delay:
bid_price_short = calc_clock_price_bid(
emas.min(), highest_bid, ema_dist_close, price_step
)
wallet_exposure_short = qty_to_cost(psize_short, pprice_short, inverse, c_mult) / balance
qty_short = min(
psize_short,
calc_clock_qty(
balance,
wallet_exposure_short,
bid_price_short,
inverse,
qty_step,
min_qty,
min_cost,
c_mult,
qty_pct_close,
we_multiplier_close,
wallet_exposure_limit,
),
)
if qty_short > 0.0:
if round_(psize_short - qty_short, qty_step) < calc_min_entry_qty(
bid_price_short, inverse, c_mult, qty_step, min_qty, min_cost
):
# close whole pos; include leftovers
return (psize_short, bid_price_short, "clock_close_short")
return (qty_short, bid_price_short, "clock_close_short")
return (0.0, 0.0, "clock_close_short")
@njit
def backtest_clock(
hlc,
starting_balance,
maker_fee,
inverse,
do_long,
do_short,
backwards_tp,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
ema_span_0,
ema_span_1,
ema_dist_entry,
ema_dist_close,
qty_pct_entry,
qty_pct_close,
we_multiplier_entry,
we_multiplier_close,
delay_weight_entry,
delay_weight_close,
delay_between_fills_minutes_entry,
delay_between_fills_minutes_close,
min_markup,
markup_range,
n_close_orders,
wallet_exposure_limit,
):
# hlc [[ts, high, low, close]] 1m
timestamps = hlc[:, 0]
highs = hlc[:, 1]
lows = hlc[:, 2]
closes = hlc[:, 3]
if wallet_exposure_limit[0] == 0.0:
do_long = False
if wallet_exposure_limit[1] == 0.0:
do_short = False
# (long, short)
delay_between_fills_ms_entry = (
delay_between_fills_minutes_entry[0] * 60 * 1000,
delay_between_fills_minutes_entry[1] * 60 * 1000,
)
delay_between_fills_ms_close = (
delay_between_fills_minutes_close[0] * 60 * 1000,
delay_between_fills_minutes_close[1] * 60 * 1000,
)
psize_long, pprice_long, psize_short, pprice_short = 0.0, 0.0, 0.0, 0.0
close_grid_long = [(0.0, np.inf, "")]
close_grid_short = [(0.0, 0.0, "")]
balance_long, balance_short = starting_balance, starting_balance
# older versions sometimes had negative delay weights
delay_weight_entry = (abs(delay_weight_entry[0]), abs(delay_weight_entry[1]))
delay_weight_close = (abs(delay_weight_close[0]), abs(delay_weight_close[1]))
spans_long = [ema_span_0[0], (ema_span_0[0] * ema_span_1[0]) ** 0.5, ema_span_1[0]]
spans_long = np.array(sorted(spans_long)) if do_long else np.ones(3)
spans_short = [ema_span_0[1], (ema_span_0[1] * ema_span_1[1]) ** 0.5, ema_span_1[1]]
spans_short = np.array(sorted(spans_short)) if do_short else np.ones(3)
assert max(spans_long) < len(hlc), "ema span long larger than len(prices)"
assert max(spans_short) < len(hlc), "ema span short larger than len(prices)"
spans_long = np.where(spans_long < 1.0, 1.0, spans_long)
spans_short = np.where(spans_short < 1.0, 1.0, spans_short)
max_span_long = int(round(max(spans_long)))
max_span_short = int(round(max(spans_short)))
emas_long, emas_short = np.repeat(closes[0], 3), np.repeat(closes[0], 3)
alphas_long = 2.0 / (spans_long + 1.0)
alphas__long = 1.0 - alphas_long
alphas_short = 2.0 / (spans_short + 1.0)
alphas__short = 1.0 - alphas_short
prev_clock_fill_ts_entry_long, prev_clock_fill_ts_close_long = 0, 0
prev_clock_fill_ts_entry_short, prev_clock_fill_ts_close_short = 0, 0
fills_long, fills_short, stats = [], [], []
next_stats_update = 0
closest_bkr_long, closest_bkr_short = 1.0, 1.0
for k in range(1, len(hlc)):
# process stats
if timestamps[k] >= next_stats_update:
bkr_price_long = calc_bankruptcy_price(
balance_long,
psize_long,
pprice_long,
0.0,
0.0,
inverse,
c_mult,
)
bkr_price_short = calc_bankruptcy_price(
balance_short,
0.0,
0.0,
psize_short,
pprice_short,
inverse,
c_mult,
)
closest_bkr_long = min(closest_bkr_long, abs(bkr_price_long - closes[k]) / closes[k])
closest_bkr_short = min(closest_bkr_short, abs(bkr_price_short - closes[k]) / closes[k])
upnl_long = calc_pnl_long(pprice_long, closes[k], psize_long, inverse, c_mult)
upnl_short = calc_pnl_short(pprice_short, closes[k], psize_short, inverse, c_mult)
equity_long = balance_long + upnl_long
equity_short = balance_short + upnl_short
stats.append(
(
timestamps[k],
bkr_price_long,
bkr_price_short,
psize_long,
pprice_long,
-psize_short,
pprice_short,
closes[k],
closest_bkr_long,
closest_bkr_short,
balance_long,
balance_short,
equity_long,
equity_short,
)
)
if equity_long <= 0.05:
do_long = False
if equity_short <= 0.05:
do_short = False
next_stats_update = min(timestamps[-1], timestamps[k] + 1000 * 60 * 60) # hourly
if do_long:
emas_long = calc_ema(alphas_long, alphas__long, emas_long, closes[k - 1])
# simulate what orders were placed previous minute
closes_long = [(0.0, np.inf, "")]
if psize_long != 0.0:
ask_price_long = calc_clock_price_ask(
emas_long.max(), closes[k - 1], ema_dist_close[0], price_step
)
if highs[k] > ask_price_long:
# clock close long
clock_close_long = calc_clock_close_long(
balance_long,
psize_long,
pprice_long,
closes[k - 1],
emas_long,
timestamps[k - 1],
prev_clock_fill_ts_close_long,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
ema_dist_close[0],
qty_pct_close[0],
we_multiplier_close[0],
delay_weight_close[0],
delay_between_fills_ms_close[0],
wallet_exposure_limit[0],
)
else:
clock_close_long = (0.0, 0.0, "")
# check if markup close
if psize_long > 0.0 and highs[k] > pprice_long * (1 + min_markup[0]):
close_grid_long = calc_close_grid_long(
backwards_tp[0],
balance_long,
psize_long,
pprice_long,
closes[k - 1],
0.0,
0,
0,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
wallet_exposure_limit[0],
min_markup[0],
markup_range[0],
n_close_orders[0],
0.0,
0.0,
0.0,
0.0,
)
# check whether to modify close grid
if close_grid_long and close_grid_long[0][0] != 0.0:
if clock_close_long[1] <= close_grid_long[0][1]:
close_grid_long = calc_close_grid_long(
backwards_tp[0],
balance_long,
max(0.0, round_(psize_long - abs(clock_close_long[0]), qty_step)),
pprice_long,
closes[k - 1],
0.0,
0,
0,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
wallet_exposure_limit[0],
min_markup[0],
markup_range[0],
n_close_orders[0],
0.0,
0.0,
0.0,
0.0,
)
closes_long = [clock_close_long] + close_grid_long
else:
closes_long = close_grid_long
elif clock_close_long[0] != 0.0:
closes_long = [clock_close_long]
bid_price_long = calc_clock_price_bid(
emas_long.min(), closes[k - 1], ema_dist_entry[0], price_step
)
if lows[k] < bid_price_long:
# clock entry long
clock_entry_long = calc_clock_entry_long(
balance_long,
psize_long,
pprice_long,
closes[k - 1],
emas_long,
timestamps[k - 1],
prev_clock_fill_ts_entry_long,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
ema_dist_entry[0],
qty_pct_entry[0],
we_multiplier_entry[0],
delay_weight_entry[0],
delay_between_fills_ms_entry[0],
wallet_exposure_limit[0],
)
if clock_entry_long[0] != 0.0:
prev_clock_fill_ts_entry_long = timestamps[k]
psize_long, pprice_long = clock_entry_long[3], clock_entry_long[4]
upnl = calc_pnl_long(pprice_long, closes[k], psize_long, inverse, c_mult)
equity_long = balance_long + upnl
pnl = 0.0
fee_paid = (
-qty_to_cost(clock_entry_long[0], clock_entry_long[1], inverse, c_mult)
* maker_fee
)
balance_long += fee_paid
fills_long.append(
(
k,
timestamps[k],
pnl,
fee_paid,
balance_long,
equity_long,
clock_entry_long[0],
clock_entry_long[1],
psize_long,
pprice_long,
"clock_entry_long",
)
)
while closes_long:
if closes_long[0][0] != 0.0 and highs[k] > closes_long[0][1]:
# close long pos
if "clock" in closes_long[0][2]:
prev_clock_fill_ts_close_long = timestamps[k]
close_qty = min(psize_long, abs(closes_long[0][0]))
if close_qty == 0.0:
break
pnl = calc_pnl_long(pprice_long, closes_long[0][1], close_qty, inverse, c_mult)
fee_paid = -qty_to_cost(close_qty, closes_long[0][1], inverse, c_mult) * maker_fee
balance_long += pnl + fee_paid
psize_long = max(0.0, round_(psize_long - close_qty, qty_step))
if psize_long == 0.0:
pprice_long = 0.0
prev_clock_fill_ts_entry_long = 0
upnl = calc_pnl_long(pprice_long, closes[k], psize_long, inverse, c_mult)
equity_long = balance_long + upnl
fills_long.append(
(
k,
timestamps[k],
pnl,
fee_paid,
balance_long,
equity_long,
-close_qty,
closes_long[0][1],
psize_long,
pprice_long,
closes_long[0][2],
)
)
closes_long = closes_long[1:]
if do_short:
emas_short = calc_ema(alphas_short, alphas__short, emas_short, closes[k - 1])
closes_short = [(0.0, 0.0, "")]
if psize_short != 0.0:
bid_price_short = calc_clock_price_bid(
emas_short.min(), closes[k - 1], ema_dist_close[1], price_step
)
if lows[k] < bid_price_short:
clock_close_short = calc_clock_close_short(
balance_short,
psize_short,
pprice_short,
closes[k - 1],
emas_short,
timestamps[k - 1],
prev_clock_fill_ts_close_short,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
ema_dist_close[1],
qty_pct_close[1],
we_multiplier_close[1],
delay_weight_close[1],
delay_between_fills_ms_close[1],
wallet_exposure_limit[1],
)
else:
clock_close_short = (0.0, 0.0, "")
# check if markup close
if psize_short > 0.0 and lows[k] < pprice_short * (1 - min_markup[1]):
close_grid_short = calc_close_grid_short(
backwards_tp[1],
balance_short,
psize_short,
pprice_short,
closes[k - 1],
0.0,
0,
0,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
wallet_exposure_limit[1],
min_markup[1],
markup_range[1],
n_close_orders[1],
0.0,
0.0,
0.0,
0.0,
)
if close_grid_short and close_grid_short[0][0] != 0.0:
if clock_close_short[1] >= close_grid_short[0][1]:
close_grid_short = calc_close_grid_short(
backwards_tp[1],
balance_short,
-max(
0.0,
round_(abs(psize_short) - abs(clock_close_short[0]), qty_step),
),
pprice_short,
closes[k - 1],
0.0,
0,
0,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
wallet_exposure_limit[1],
min_markup[1],
markup_range[1],
n_close_orders[1],
0.0,
0.0,
0.0,
0.0,
)
closes_short = [clock_close_short] + close_grid_short
else:
closes_short = close_grid_short
elif clock_close_short[0] != 0.0:
closes_short = [clock_close_short]
ask_price_short = calc_clock_price_ask(
emas_short.max(), closes[k - 1], ema_dist_entry[1], price_step
)
if highs[k] > ask_price_short:
clock_entry_short = calc_clock_entry_short(
balance_short,
psize_short,
pprice_short,
closes[k - 1],
emas_short,
timestamps[k - 1],
prev_clock_fill_ts_entry_short,
inverse,
qty_step,
price_step,
min_qty,
min_cost,
c_mult,
ema_dist_entry[1],
qty_pct_entry[1],
we_multiplier_entry[1],
delay_weight_entry[1],
delay_between_fills_ms_entry[1],
wallet_exposure_limit[1],
)
if clock_entry_short[0] != 0.0:
prev_clock_fill_ts_entry_short = timestamps[k]
psize_short, pprice_short = abs(clock_entry_short[3]), clock_entry_short[4]
upnl = calc_pnl_short(pprice_short, closes[k], psize_short, inverse, c_mult)
equity_short = balance_short + upnl
pnl = 0.0
fee_paid = (
-qty_to_cost(clock_entry_short[0], clock_entry_short[1], inverse, c_mult)
* maker_fee
)
balance_short += fee_paid
fills_short.append(
(
k,
timestamps[k],
pnl,
fee_paid,
balance_short,
equity_short,
-abs(clock_entry_short[0]),
clock_entry_short[1],
-psize_short,
pprice_short,
"clock_entry_short",
)
)
while closes_short:
if closes_short[0][0] != 0.0 and lows[k] < closes_short[0][1]:
# close short pos
if "clock" in closes_short[0][2]:
prev_clock_fill_ts_close_short = timestamps[k]
close_qty = min(abs(psize_short), abs(closes_short[0][0]))
if close_qty == 0.0:
break
pnl = calc_pnl_short(pprice_short, closes_short[0][1], close_qty, inverse, c_mult)
fee_paid = (
-qty_to_cost(close_qty, closes_short[0][1], inverse, c_mult) * maker_fee
)
balance_short += pnl + fee_paid
psize_short = max(0.0, round_(psize_short - close_qty, qty_step))
if psize_short == 0.0:
pprice_short = 0.0
prev_clock_fill_ts_entry_short = 0
upnl = calc_pnl_short(pprice_short, closes[k], psize_short, inverse, c_mult)
equity_short = balance_short + upnl
fills_short.append(
(
k,
timestamps[k],
pnl,
fee_paid,
balance_short,
equity_short,
close_qty,
closes_short[0][1],
-psize_short,
pprice_short,
closes_short[0][2],
)
)
closes_short = closes_short[1:]
return fills_long, fills_short, stats