File size: 8,851 Bytes
c84be82
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
99e0310
 
 
 
 
 
 
 
 
c84be82
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
#!/usr/bin/env python3
"""
arb_log_analysis.py

Read-only analysis tool for arb-bot / GardenAngelArbAlerts-style log text.
Does NOT execute trades, does NOT touch the bot, does NOT submit anything.
It just parses text you paste/export and tells you what actually happened.

Usage:
    python3 arb_log_analysis.py path/to/logfile.txt
    # or pipe text in:
    cat logs.txt | python3 arb_log_analysis.py -

Expected input: raw text containing lines like the Telegram alerts, e.g.

    SOL-USDC opportunity via aggregate: net ~13308 lamports (bidding 39921 tip ...)
    SOL-USDC sent ... net ~13308 · tip 39921 vs 99th floor 1000 ...
    SOL-USDC — bundle dropped — engine lost track of it (expected net ~9322 lamports)

The parser is deliberately tolerant: it looks for "sent" events (attempts,
with tip + expected net) and "dropped" events (failures), and matches them
up in order per pair. It does NOT assume any attempt that isn't explicitly
marked dropped actually landed and was profitable -- see the "unconfirmed"
bucket in the output. Only mark something a real win if you have independent
on-chain confirmation (e.g. a signature you looked up), because these alerts
alone cannot prove settlement.
"""

import re
import sys
from dataclasses import dataclass, field
from collections import defaultdict

LAMPORTS_PER_SOL = 1_000_000_000

SENT_RE = re.compile(
    r"(?P<pair>[A-Z]{2,10}-[A-Z]{2,10})\s+sent.*?"
    r"net\s*~?(?P<net>-?\d+)\s*.*?tip\s*(?P<tip>\d+)",
    re.IGNORECASE | re.DOTALL,
)

DROPPED_RE = re.compile(
    r"(?P<pair>[A-Z]{2,10}-[A-Z]{2,10}).*?bundle dropped.*?"
    r"expected net\s*~?(?P<net>-?\d+)\s*lamports",
    re.IGNORECASE | re.DOTALL,
)

TIMESTAMP_RE = re.compile(r"\d{4}-\d{2}-\d{2}T[\d:.]+Z")


@dataclass
class Attempt:
    pair: str
    tip_lamports: int
    expected_net_lamports: int
    dropped: bool = False


@dataclass
class PairStats:
    attempts: int = 0
    dropped: int = 0
    unconfirmed: int = 0  # sent, not explicitly marked dropped -- status unknown
    total_tip_lamports: int = 0
    total_expected_net_lamports: int = 0  # only counted for dropped/unconfirmed as "at risk", not "won"


def parse_log(text: str):
    """Split into blocks separated by blank-ish boundaries and classify each."""
    # Break on lines that start a new alert (rocket/magnifier/red-circle emoji lines
    # collapse in plain text, so instead we chunk on pair-name + keyword occurrences).
    attempts = []

    for m in SENT_RE.finditer(text):
        pair = m.group("pair").upper()
        net = int(m.group("net"))
        tip = int(m.group("tip"))
        attempts.append(Attempt(pair=pair, tip_lamports=tip, expected_net_lamports=net))

    dropped_events = []
    for m in DROPPED_RE.finditer(text):
        pair = m.group("pair").upper()
        net = int(m.group("net"))
        dropped_events.append((pair, net))

    # Match dropped events to the most recent unmatched "sent" attempt for that pair
    # with the same expected net (best-effort; logs don't carry a shared ID).
    used = [False] * len(attempts)
    for pair, net in dropped_events:
        matched = False
        for i in range(len(attempts) - 1, -1, -1):
            if (
                not used[i]
                and attempts[i].pair == pair
                and attempts[i].expected_net_lamports == net
            ):
                attempts[i].dropped = True
                used[i] = True
                matched = True
                break
        if not matched:
            # dropped event with no matching sent line -- record as a standalone dropped attempt
            attempts.append(Attempt(pair=pair, tip_lamports=0, expected_net_lamports=net, dropped=True))

    return attempts


def summarize(attempts):
    by_pair = defaultdict(PairStats)
    overall = PairStats()

    for a in attempts:
        s = by_pair[a.pair]
        s.attempts += 1
        overall.attempts += 1

        s.total_tip_lamports += a.tip_lamports
        overall.total_tip_lamports += a.tip_lamports

        if a.dropped:
            s.dropped += 1
            overall.dropped += 1
        else:
            # NOTE: "not explicitly dropped" != "confirmed landed profitably".
            # These alerts only show us attempts and drops; a true landed,
            # profitable fill would need on-chain confirmation to count as a win.
            s.unconfirmed += 1
            overall.unconfirmed += 1

        s.total_expected_net_lamports += a.expected_net_lamports
        overall.total_expected_net_lamports += a.expected_net_lamports

    return by_pair, overall


def fmt_sol(lamports: int) -> str:
    return f"{lamports / LAMPORTS_PER_SOL:.6f} SOL"


def print_report(by_pair, overall):
    print("=" * 70)
    print("ARB-BOT LOG ANALYSIS (read-only, no trades executed)")
    print("=" * 70)
    print()
    print(f"Total attempts parsed: {overall.attempts}")
    print(f"  Explicitly dropped:   {overall.dropped}")
    print(f"  Unconfirmed status:   {overall.unconfirmed}  "
          f"(sent, no drop message seen -- NOT proof of a profitable landed fill)")
    print()
    print(f"Total tips paid (bid, whether or not it landed): "
          f"{overall.total_tip_lamports} lamports ({fmt_sol(overall.total_tip_lamports)})")
    print(f"Total *expected* net profit across all attempts if every single one had "
          f"landed at quoted size:")
    print(f"  {overall.total_expected_net_lamports} lamports "
          f"({fmt_sol(overall.total_expected_net_lamports)})")
    print()

    if overall.dropped > 0 and overall.attempts > 0:
        drop_rate = 100 * overall.dropped / overall.attempts
        print(f"Drop rate: {drop_rate:.1f}% of attempts confirmed failed")
    print()

    print("-" * 70)
    print("By pair:")
    print("-" * 70)
    for pair, s in sorted(by_pair.items()):
        print(f"\n  {pair}")
        print(f"    attempts: {s.attempts}  dropped: {s.dropped}  unconfirmed: {s.unconfirmed}")
        print(f"    tips paid: {s.total_tip_lamports} lamports ({fmt_sol(s.total_tip_lamports)})")
        print(f"    expected net (if landed): {s.total_expected_net_lamports} lamports "
              f"({fmt_sol(s.total_expected_net_lamports)})")
        if s.total_expected_net_lamports > 0:
            ratio = s.total_tip_lamports / s.total_expected_net_lamports
            print(f"    tip / expected-net ratio: {ratio:.2f}x "
                  f"{'  <-- paying more than the edge is worth' if ratio > 1 else ''}")

    print()
    print("=" * 70)
    print("READ THIS PART")
    print("=" * 70)
    print("""
This script cannot tell you a trade was profitable just because it wasn't
marked "dropped" -- these Telegram alerts don't confirm on-chain settlement.
To get a REAL win rate:

  1. Pull the tx signatures your bot submitted (it should log these, or you
     can find them via the Jito bundle IDs).
  2. Look each one up on a Solana explorer (or via RPC getSignatureStatuses /
     getTransaction) to confirm it actually landed and check the real token
     balance delta.
  3. Only count a lamport net-positive, confirmed, landed transaction as a
     genuine win. Everything else (dropped, unconfirmed, simulation-failed)
     is a cost with zero revenue.

Based purely on what's in this log text: every attempt either explicitly
dropped, or has no confirmation it landed at all. If your total tips-paid
figure above is nonzero and you have zero confirmed on-chain profitable
fills, your realized P&L right now is AT BEST zero and likely negative
(tips are typically deducted/attempted regardless of bundle inclusion
depending on your tip payment mechanism -- check your own fee logs for
actual SOL balance changes, don't trust the bot's self-reported "net").
""")


def main():
    if len(sys.argv) < 2:
        print(__doc__)
        sys.exit(1)

    src = sys.argv[1]
    # `--help` is the first thing anyone types at an unfamiliar script, and
    # this one answered it with a FileNotFoundError traceback naming
    # '--help' as a missing file. Every other script here answers it; this
    # was the only one that treated the universal "what is this" as a
    # filename, and a traceback is a strong signal that the tool is broken
    # when nothing was wrong but the greeting.
    if src in ("-h", "--help", "help"):
        print(__doc__)
        sys.exit(0)
    if src == "-":
        text = sys.stdin.read()
    else:
        with open(src, "r", encoding="utf-8", errors="replace") as f:
            text = f.read()

    attempts = parse_log(text)
    if not attempts:
        print("No matching 'sent' or 'bundle dropped' lines found in the input.")
        print("Check that you pasted the raw alert text (including 'net ~N' and 'tip N').")
        sys.exit(0)

    by_pair, overall = summarize(attempts)
    print_report(by_pair, overall)


if __name__ == "__main__":
    main()