stock_backtester

Unverified Other strategy on Indices by mrtoronto. BotFinder score 18 out of 100.

Stock trading strategy back-tester

Source: github

Explorer/Indices/stock_backtester
18
Data index
IndicesMedium risk⚠ Unverified

stock_backtester

mrtorontoGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
7.2y
BotFinder Analysis

BotFinder analysis pending.

About

stock_backtester

stockbacktester General Running backtest.py will perform a run of the script. The output will be a plot of the back-test. Each run of the back-tester will use specified trading strategies to maintain a portfolio of stock over the specified timeframe. The results of all the strategies are plotted to be compared to each other and to the results of a "buy and hold" strategy on the S&P500 using the same amount of money. Run description 1. Pull test ticker and S&P500 data from Yahoo! Finance or cache file created by process. - Changing the cache boolean to False will make the process pull fresh every run. - Cache folder and subfolders for each ticker will be created if necessary. - Partially complete cache data will be filled in from Yahoo! Finance. - If cache had data from '2017-01-01'-'2018-01-01' for a ticker and user requested data from '2017-01-01'-'2018-06-01' for the same ticker, process will pull data for '2018-01-01'-'2018-06-01' from Yahoo! Finance and update the stored cache file. 2. Derive indicators from the raw data. - Done in the indicators.py script. - Currently implemente

PythonOpen-sourceback-testingbacktestbacktesterstocktrading-strategies
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.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
mrtoronto
Since 2016 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

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

Source facts
Stars19
Forks6
Open issues0
LanguagePython
License—
Last update2019-08-27
Created2019-08-25
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