First draft position accounting with `polars`
Took a little while to get right using declarative style but it's finally workin and seems (mostly correct B) Computes the ppu (price per unit) using the PnL since last net-zero-cumsize (aka the pnl from open to close) and uses it to calc the pnl-per-exit trade (using the ppu). Next up, bep (break even price both) per position and maybe since ledger start or an arbitrary ref point?account_tests
Tyler Goodlet
parent
385561276b
commit
b1edaf0639
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@ -127,8 +127,8 @@ def ppu(
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# after sum should be the remaining size the new
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# "direction" (aka, long vs. short) for this clear.
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if sign_change:
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clear_size = accum_size
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abs_diff = abs(accum_size)
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clear_size: float = accum_size
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abs_diff: float = abs(accum_size)
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asize_h.append(0)
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ppu_h.append(0)
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@ -149,7 +149,6 @@ def ppu(
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abs_diff > 0
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and is_clear
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):
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cost_basis = (
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# cost basis for this clear
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clear_price * abs(clear_size)
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@ -159,12 +158,12 @@ def ppu(
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)
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if asize_h:
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size_last = abs(asize_h[-1])
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cb_last = ppu_h[-1] * size_last
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ppu = (cost_basis + cb_last) / abs_new_size
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size_last: float = abs(asize_h[-1])
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cb_last: float = ppu_h[-1] * size_last
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ppu: float = (cost_basis + cb_last) / abs_new_size
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else:
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ppu = cost_basis / abs_new_size
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ppu: float = cost_basis / abs_new_size
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else:
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# TODO: for PPU we should probably handle txs out
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@ -177,7 +176,7 @@ def ppu(
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# only the size changes not the price-per-unit
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# need to be updated since the ppu remains constant
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# and gets weighted by the new size.
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ppu: float = ppu_h[-1] # set to previous value
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ppu: float = ppu_h[-1] if ppu_h else 0 # set to previous value
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# extend with new rolling metric for this step
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ppu_h.append(ppu)
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@ -436,7 +435,7 @@ def open_ledger_dfs(
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# - it'd be more ideal to use `ppt = df.groupby('fqme').agg([`
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# - ppu and bep calcs!
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for key in dfs:
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df = dfs[key]
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df = dfs[key].lazy()
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# TODO: pass back the current `Position` object loaded from
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# the account as well? Would provide incentive to do all
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@ -444,8 +443,99 @@ def open_ledger_dfs(
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# bs_mktid: str = df[0]['bs_mktid']
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# pos: Position = acnt.pps[bs_mktid]
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dfs[key] = df.with_columns([
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df = dfs[key] = df.with_columns([
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pl.cumsum('size').alias('cumsize'),
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])
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# amount of source asset "sent" (via buy txns in
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# the market) to acquire the dst asset, PER txn.
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# when this value is -ve (i.e. a sell operation) then
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# the amount sent is actually "returned".
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(pl.col('price') * pl.col('size')).alias('dst_bot'),
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]).with_columns([
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# rolling balance in src asset units
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(pl.cumsum('dst_bot') * -1).alias('src_balance'),
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# "position operation type" in terms of increasing the
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# amount in the dst asset (entering) or decreasing the
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# amount in the dst asset (exiting).
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pl.when(
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pl.col('size').sign() == pl.col('cumsize').sign()
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).then(
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pl.lit('enter') # see above, but is just price * size per txn
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).otherwise(
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pl.when(pl.col('cumsize') == 0)
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.then(pl.lit('exit_to_zero'))
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.otherwise(pl.lit('exit'))
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).alias('descr'),
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]).with_columns([
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pl.when(pl.col('cumsize') == pl.lit(0))
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.then(pl.col('src_balance'))
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.otherwise(pl.lit(None))
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.forward_fill()
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.fill_null(0)
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.alias('pnl_since_nz'),
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]).with_columns([
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pl.when(pl.col('cumsize') == 0)
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.then(pl.col('pnl_since_nz'))
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.otherwise(0)
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.cumsum()
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.alias('cum_pnl_since_nz')
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]).with_columns([
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pl.when(
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pl.col('descr') == pl.lit('enter')
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).then(
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(
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pl.col('pnl_since_nz')
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-
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# -ve on buys (and no prior profits)
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pl.col('src_balance')
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)# * pl.col('cumsize').sign()
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/
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pl.col('cumsize')
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).otherwise(
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pl.lit(None)
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).forward_fill().alias('ppu_per_pos'),
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]).with_columns([
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pl.when(pl.col('descr') != pl.lit('enter'))
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.then(
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(pl.col('price') - pl.col('ppu_per_pos')) * pl.col('size') * -1
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)
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.otherwise(0)
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.alias('pnl_per_exit')
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]).with_columns([
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# (
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# # weight las ppu by the previous (txn row's)
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# # cumsize since sells may have happpened.
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# ((pl.col('last_ppu')
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# * pl.col('last_cumsize'))
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# - pl.col('net_pnl'))
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# + pl.col('i_dst_bot')
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# ) /
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# pl.col('cumsize')
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# choose fields to emit for accounting puposes
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]).select([
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pl.exclude([
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'tid',
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'dt',
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'expiry',
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'bs_mktid',
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'etype',
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]),
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]).collect()
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yield dfs, ledger
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