AI Slop Code RIsk Monitor

freqtrade/freqtrade-strategies

Free trading strategies for Freqtrade bot

64.7 High pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for freqtrade/freqtrade-strategies, a Python project with 5,542 GitHub stars. SynthScan examined 10,427 lines of code across 76 source files, recording 360 pattern matches distributed across 11 syntactic categories. The legacy adjusted pattern signal is 64.7 (High pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

64.7
Adjusted Signal
64.7
Raw Pattern Score
100%
Time Factor
2026-09-08
Last Push
5.5K
Stars
Python
Language
10.4K
Lines of Code
76
Files
360
Pattern Hits
2026-10-12
Scan Date
0.45
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 37.1/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 48 finding(s).

Hallucinated Dependency & Supply Chain Risk 63.8/100 · HIGH

Are imports declared and package/API names verified? 212 finding(s).

Agent Over-Engineering Ratio 82.9/100 · CRITICAL

Are wrappers, guards, and repeated structures necessary? 102 finding(s).

PR Review Velocity Impact 96.3/100 · CRITICAL

Which changes need focused human review? 360 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 34MEDIUM 78LOW 248

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 360 distinct pattern matches across 11 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Unused Imports212 hits · 212 pts
SeverityFileLineSnippetContext
LOWuser_data/hyperopts/GodStraHo.py13CODE
LOWuser_data/hyperopts/GodStraHo.py22CODE
LOWuser_data/hyperopts/GodStraHo.py23CODE
LOWuser_data/strategies/SwingHighToSky.py14CODE
LOWuser_data/strategies/SwingHighToSky.py18CODE
LOWuser_data/strategies/SwingHighToSky.py19CODE
LOWuser_data/strategies/hlhb.py3CODE
LOWuser_data/strategies/hlhb.py4CODE
LOWuser_data/strategies/InformativeSample.py4CODE
LOWuser_data/strategies/InformativeSample.py4CODE
LOWuser_data/strategies/InformativeSample.py5CODE
LOWuser_data/strategies/InformativeSample.py10CODE
LOWuser_data/strategies/Diamond.py48CODE
LOWuser_data/strategies/Strategy001_custom_exit.py4CODE
LOWuser_data/strategies/Strategy001_custom_exit.py4CODE
LOWuser_data/strategies/Strategy001_custom_exit.py5CODE
LOWuser_data/strategies/FixedRiskRewardLoss.py4CODE
LOWuser_data/strategies/FixedRiskRewardLoss.py5CODE
LOWuser_data/strategies/FixedRiskRewardLoss.py13CODE
LOWuser_data/strategies/FixedRiskRewardLoss.py15CODE
LOWuser_data/strategies/Bandtastic.py2CODE
LOWuser_data/strategies/Bandtastic.py3CODE
LOWuser_data/strategies/Bandtastic.py7CODE
LOWuser_data/strategies/Bandtastic.py7CODE
LOWuser_data/strategies/Heracles.py20CODE
LOWuser_data/strategies/Heracles.py23CODE
LOWuser_data/strategies/Heracles.py25CODE
LOWuser_data/strategies/Strategy004.py4CODE
LOWuser_data/strategies/Strategy004.py4CODE
LOWuser_data/strategies/Strategy004.py5CODE
LOWuser_data/strategies/multi_tf.py1CODE
LOWuser_data/strategies/multi_tf.py2CODE
LOWuser_data/strategies/multi_tf.py5CODE
LOWuser_data/strategies/multi_tf.py7CODE
LOWuser_data/strategies/multi_tf.py8CODE
LOWuser_data/strategies/multi_tf.py11CODE
LOWuser_data/strategies/CustomStoplossWithPSAR.py4CODE
LOWuser_data/strategies/CustomStoplossWithPSAR.py5CODE
LOWuser_data/strategies/CustomStoplossWithPSAR.py13CODE
LOWuser_data/strategies/CustomStoplossWithPSAR.py15CODE
LOWuser_data/strategies/MultiMa.py13CODE
LOWuser_data/strategies/Strategy001.py4CODE
LOWuser_data/strategies/Strategy001.py4CODE
LOWuser_data/strategies/Strategy001.py5CODE
LOWuser_data/strategies/PowerTower.py5CODE
LOWuser_data/strategies/PowerTower.py6CODE
LOWuser_data/strategies/PowerTower.py8CODE
LOWuser_data/strategies/PowerTower.py9CODE
LOWuser_data/strategies/PowerTower.py9CODE
LOWuser_data/strategies/PowerTower.py11CODE
LOWuser_data/strategies/PowerTower.py11CODE
LOWuser_data/strategies/PowerTower.py11CODE
LOWuser_data/strategies/PowerTower.py11CODE
LOWuser_data/strategies/PowerTower.py16CODE
LOWuser_data/strategies/PowerTower.py17CODE
LOWuser_data/strategies/PowerTower.py18CODE
LOWuser_data/strategies/Strategy002.py4CODE
LOWuser_data/strategies/Strategy002.py4CODE
LOWuser_data/strategies/Strategy002.py5CODE
LOWuser_data/strategies/GodStra.py13CODE
152 more matches not shown…
Decorative Section Separators62 hits · 192 pts
SeverityFileLineSnippetContext
MEDIUMuser_data/hyperopts/GodStraHo.py19# --------------------------------COMMENT
MEDIUMuser_data/strategies/hlhb.py92 # ------------------------------------COMMENT
MEDIUMuser_data/strategies/InformativeSample.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/Diamond.py45# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy001_custom_exit.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/FixedRiskRewardLoss.py10# --------------------------------COMMENT
MEDIUMuser_data/strategies/BreakEven.py5# --------------------------------COMMENT
MEDIUMuser_data/strategies/HourBasedStrategy.py13# --------------------------------COMMENT
MEDIUMuser_data/strategies/Heracles.py17# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy004.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/mabStra.py9# --------------------------------COMMENT
MEDIUMuser_data/strategies/CustomStoplossWithPSAR.py10# --------------------------------COMMENT
MEDIUMuser_data/strategies/MultiMa.py9# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy005.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy005.py135 # ------------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy001.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/PowerTower.py14# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy002.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/GodStra.py28# --------------------------------COMMENT
MEDIUMuser_data/strategies/Strategy003.py7# --------------------------------COMMENT
MEDIUMuser_data/strategies/PatternRecognition.py12# --------------------------------COMMENT
MEDIUMuser_data/strategies/UniversalMACD.py14# --------------------------------COMMENT
MEDIUM⚡user_data/strategies/futures/FReinforcedStrategy.py18# --------------------------------COMMENT
MEDIUM⚡user_data/strategies/futures/FAdxSmaStrategy.py18# --------------------------------COMMENT
MEDIUM⚡user_data/strategies/futures/FSampleStrategy.py17# --------------------------------COMMENT
MEDIUMuser_data/strategies/futures/FSampleStrategy.py89 # ------------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/Quickie.py6# --------------------------------COMMENT
MEDIUM…data/strategies/berlinguyinca/ReinforcedSmoothScalp.py9# --------------------------------COMMENT
MEDIUM…_data/strategies/berlinguyinca/ASDTSRockwellTrading.py7# --------------------------------COMMENT
MEDIUM⚡user_data/strategies/berlinguyinca/CMCWinner.py5# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/SmoothScalp.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/SmoothScalp.py12# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/BinHV27.py5# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/BinHV27.py12# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/Scalp.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/ClucMay72018.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/ClucMay72018.py13# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/AwesomeMacd.py8# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/ADXMomentum.py7# --------------------------------COMMENT
MEDIUM…linguyinca/Freqtrade_backtest_validation_freqtrade1.py9# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/MACDStrategy.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/Low_BB.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/Low_BB.py13# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/AdxSmas.py8# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/AverageStrategy.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/BbandRsi.py8# --------------------------------COMMENT
MEDIUM…_data/strategies/berlinguyinca/MACDStrategy_crossed.py7# --------------------------------COMMENT
MEDIUM…r_data/strategies/berlinguyinca/DoesNothingStrategy.py4# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/BinHV45.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/CCIStrategy.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/MultiRSI.py4# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/ReinforcedQuickie.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/ReinforcedQuickie.py13# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/Simple.py6# --------------------------------COMMENT
MEDIUM…/strategies/berlinguyinca/ReinforcedAverageStrategy.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/CofiBitStrategy.py9# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/SmoothOperator.py6# --------------------------------COMMENT
MEDIUMuser_data/strategies/berlinguyinca/EMASkipPump.py5# --------------------------------COMMENT
MEDIUM…r_data/strategies/berlinguyinca/CombinedBinHAndCluc.py4# --------------------------------COMMENT
MEDIUMuser_data/strategies/lookahead_bias/wtc.py27# --------------------------------COMMENT
2 more matches not shown…
Cross-File Repetition34 hits · 170 pts
SeverityFileLineSnippetContext
HIGHuser_data/strategies/InformativeSample.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy001_custom_exit.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy004.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy005.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy001.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy002.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/Strategy003.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGH…_data/strategies/berlinguyinca/TDSequentialStrategy.py0define additional, informative pair/interval combinations to be cached from the exchange. these pair/interval combinatioSTRING
HIGHuser_data/strategies/InformativeSample.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy001_custom_exit.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy004.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy005.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy001.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy002.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/Strategy003.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/berlinguyinca/CMCWinner.py0adds several different ta indicators to the given dataframe performance note: for the best performance be frugal on the STRING
HIGHuser_data/strategies/InformativeSample.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy001_custom_exit.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy004.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy005.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy001.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy002.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/Strategy003.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGH…_data/strategies/berlinguyinca/ASDTSRockwellTrading.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/CMCWinner.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/ClucMay72018.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/MACDStrategy.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/Low_BB.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/AverageStrategy.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGH…_data/strategies/berlinguyinca/MACDStrategy_crossed.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/CCIStrategy.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/ReinforcedQuickie.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGH…/strategies/berlinguyinca/ReinforcedAverageStrategy.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
HIGHuser_data/strategies/berlinguyinca/CofiBitStrategy.py0based on ta indicators, populates the sell signal for the given dataframe :param dataframe: dataframe :return: dataframeSTRING
Self-Referential Comments9 hits · 33 pts
SeverityFileLineSnippetContext
MEDIUMuser_data/strategies/multi_tf.py49 # This method is not required.COMMENT
MEDIUM⚡user_data/strategies/futures/FReinforcedStrategy.py26# This class is a sample. Feel free to customize it.COMMENT
MEDIUMuser_data/strategies/futures/FReinforcedStrategy.py53 # Define the guards spacesCOMMENT
MEDIUMuser_data/strategies/futures/FReinforcedStrategy.py57 # Define the parameter spacesCOMMENT
MEDIUM⚡user_data/strategies/futures/FAdxSmaStrategy.py24# This class is a sample. Feel free to customize it.COMMENT
MEDIUMuser_data/strategies/futures/FAdxSmaStrategy.py51 # Define the guards spacesCOMMENT
MEDIUMuser_data/strategies/futures/FAdxSmaStrategy.py55 # Define the parameter spacesCOMMENT
MEDIUM⚡user_data/strategies/futures/FSampleStrategy.py23# This class is a sample. Feel free to customize it.COMMENT
MEDIUM⚡user_data/strategies/berlinguyinca/CMCWinner.py13# This class is a sample. Feel free to customize it.COMMENT
Slop Phrases7 hits · 27 pts
SeverityFileLineSnippetContext
MEDIUMuser_data/hyperopts/GodStraHo.py26# you can change it and see the results...COMMENT
MEDIUMuser_data/strategies/Diamond.py17# of buy/sell signals, But you can add your indicators and addCOMMENT
MEDIUMuser_data/strategies/Diamond.py118 # you can add new indicators and enable them insideCOMMENT
MEDIUM⚡user_data/strategies/futures/FReinforcedStrategy.py26# This class is a sample. Feel free to customize it.COMMENT
MEDIUM⚡user_data/strategies/futures/FAdxSmaStrategy.py24# This class is a sample. Feel free to customize it.COMMENT
MEDIUM⚡user_data/strategies/futures/FSampleStrategy.py23# This class is a sample. Feel free to customize it.COMMENT
MEDIUM⚡user_data/strategies/berlinguyinca/CMCWinner.py13# This class is a sample. Feel free to customize it.COMMENT
Over-Commented Block15 hits · 15 pts
SeverityFileLineSnippetContext
LOWuser_data/strategies/Diamond.py1# 𝐼𝓉 𝒾𝓈 𝒟𝒾𝒶𝓂𝑜𝓃𝒹 𝒮𝓉𝓇𝒶𝓉𝑒𝑔𝓎.COMMENT
LOWuser_data/strategies/Diamond.py21# Author: @Mablue (Masoud Azizi)COMMENT
LOWuser_data/strategies/HourBasedStrategy.py1# Hour StrategyCOMMENT
LOWuser_data/strategies/HourBasedStrategy.py21 # SHIB/USDT, 1000$x1:100daysCOMMENT
LOWuser_data/strategies/Heracles.py1# Heracles Strategy: Strongest Son of GodStraCOMMENT
LOWuser_data/strategies/PowerTower.py21class PowerTower(IStrategy):COMMENT
LOWuser_data/strategies/PowerTower.py41 # "dry_run_wallet": 1000,COMMENT
LOWuser_data/strategies/GodStra.py1# GodStra StrategyCOMMENT
LOWuser_data/strategies/UniversalMACD.py21class UniversalMACD(IStrategy):COMMENT
LOWuser_data/strategies/UniversalMACD.py41 # "trading_mode": "spot",COMMENT
LOWuser_data/strategies/berlinguyinca/SmoothOperator.py101 dataframe['sma_fast'] = ta.SMA(dataframe, timeperiod=50, price='close')COMMENT
LOWuser_data/strategies/berlinguyinca/SmoothOperator.py121 # (dataframe['close'] > dataframe['open'])COMMENT
LOWuser_data/strategies/lookahead_bias/wtc.py1# WTC Strategy: WTC(World Trade Center Tabriz)COMMENT
LOWuser_data/strategies/lookahead_bias/wtc.py21#COMMENT
LOWuser_data/strategies/lookahead_bias/DevilStra.py1# DevilStra StrategyCOMMENT
Deep Nesting10 hits · 10 pts
SeverityFileLineSnippetContext
LOWuser_data/hyperopts/GodStraHo.py76CODE
LOWuser_data/hyperopts/GodStraHo.py148CODE
LOWuser_data/hyperopts/GodStraHo.py80CODE
LOWuser_data/hyperopts/GodStraHo.py152CODE
LOWuser_data/strategies/GodStra.py97CODE
LOWuser_data/strategies/GodStra.py140CODE
LOWuser_data/strategies/lookahead_bias/GodStraNew.py260CODE
LOWuser_data/strategies/lookahead_bias/GodStraNew.py328CODE
LOWuser_data/strategies/lookahead_bias/DevilStra.py335CODE
LOWuser_data/strategies/lookahead_bias/DevilStra.py403CODE
Structural Annotation Overuse3 hits · 7 pts
SeverityFileLineSnippetContext
LOW⚡.github/ISSUE_TEMPLATE/strategy_request.md13## Step 1: What indicators are required?COMMENT
LOW⚡.github/ISSUE_TEMPLATE/strategy_request.md17## Step 2: Explain the Buy StrategyCOMMENT
LOW⚡.github/ISSUE_TEMPLATE/strategy_request.md22## Step 1: Explain the Sell StrategyCOMMENT
Modern Structural Boilerplate4 hits · 4 pts
SeverityFileLineSnippetContext
LOWuser_data/strategies/TrendRiderStrategy.py19logger = logging.getLogger(__name__)CODE
LOWuser_data/strategies/FixedRiskRewardLoss.py18logger = logging.getLogger(__name__)CODE
LOWuser_data/strategies/AlmgrenChrissStrategy.py10logger = logging.getLogger(__name__)CODE
LOWuser_data/strategies/multi_tf.py13logger = logging.getLogger(__name__)CODE
AI Slop Vocabulary2 hits · 3 pts
SeverityFileLineSnippetContext
LOWuser_data/strategies/Diamond.py16# It is just use the pure dataframe ohlcv data for calculationCOMMENT
LOWuser_data/strategies/HourBasedStrategy.py3# Because of that you should just use 1h timeframe on this strategy.COMMENT
Hyper-Verbose Identifiers2 hits · 2 pts
SeverityFileLineSnippetContext
LOWuser_data/strategies/berlinguyinca/SmoothOperator.py275 def four_green_one_red_candle(dataframe):CODE
LOWuser_data/strategies/berlinguyinca/SmoothOperator.py291 def four_red_one_green_candle(dataframe):CODE