signal_analyzer

Unverified Other strategy on Multi by alihaskar. BotFinder score 37 out of 100.

Trade geometry diagnostic engine for analyzing post-entry behavior of trading signals

Source: github

Explorer/Multi/signal_analyzer
37
Data index
MultiMedium risk⚠ UnverifiedNEW

signal_analyzer

alihaskarGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
1.8
Profit factor
—
Win rate
—
Track record
0.7y
⚠ Publisher-stated · not independently verified
BotFinder Analysis

BotFinder analysis pending.

About

signal_analyzer

Trade Geometry Analyzer Diagnostic engine for analyzing post-entry behavior of trading signals --- Quick Install --- Why This Library Exists You've spent weeks developing a trading signal. Your backtest shows a Sharpe of 1.8, healthy win rate, and promising equity curve. You're ready to deploy, but then the critical questions hit: Where do I place my stop-loss? What take-profit makes sense? Should I trail? Do I need room to breathe or does this signal profit quickly? Your backtest optimized the entry, but the exit rules are still a guess. Traditional backtesting tools tell you if your signal has an edge. They don't tell you how that edge manifests in the price path after entry. You end up grid-searching TP/SL parameters, overfitting to your sample, and deploying with exit rules that are either too tight (death by a thousand stops) or too wide (giving back all your winners). The problem isn't your signal—it's that you're flying blind on risk management. Here's what you actually need to know: When you enter a trade, does the profit come immediately or does the position need to drawdown

PythonMITOpen-sourcealgorithmic-tradingpythonquantitative-financerisk-managementtechnical-analysistrading
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Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

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Live monitoring

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Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
alihaskar
Since 2022 · 2 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability37/100
Perf data7/35
Community0/25
Evidence20/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars15
Forks2
Open issues0
LanguagePython
LicenseMIT
Last update2026-01-26
Created2026-01-26
Website
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