Cobra Trading Trading Journal - Auto Import

Cobra Trading users can import their complete trade history into JournalPlus using CSV exports from DAS Trader Pro, Cobra’s primary direct-access platform. The import captures all execution data including commissions and net P&L, making it possible to analyze performance across dozens of daily trades without any manual data entry. For active short sellers, this integration is especially useful for surfacing whether HTB locate fees are silently eroding net profitability on short-side setups.

Key Features

DAS Trader Pro CSV Import

DAS Trader Pro exports a clean, structured CSV that JournalPlus parses without any column remapping. The standard export includes Date, Time, Symbol, Side, Qty, Price, Commission, and Net P&L — every field JournalPlus needs to calculate accurate performance metrics. Traders running 20–60 trades per day can export a full week (~200–300 rows) and import it in a single upload.

HTB Locate Fee Tracking

Short sellers using Cobra’s hard-to-borrow locate service pay per-share fees that can range from $0.01 to $0.25 per share on popular HTB names, translating to 0.5%–300%+ annualized borrow cost depending on demand. These fees are deducted in Cobra’s net P&L figures, and JournalPlus imports those net numbers directly — so your short-side analytics reflect true profitability, not inflated gross figures. A 100-share short in a $5 stock borrowed at 100% annual rate carries roughly $1.37/day in locate cost; over a week of repeated trades, that adds up to a meaningful drag that gross P&L alone would not reveal.

Time-of-Day P&L Breakdown

For traders executing setups like gap-and-go at the open or VWAP reclaims mid-morning, time-of-day segmentation is one of the most actionable analytics available. JournalPlus breaks P&L into 15-minute intervals across all imported sessions. Most active small-cap traders find that the first 45 minutes after the open (9:30–10:15 AM) account for the majority of profitable trades, while afternoon sessions are net negative.

Win Rate by Ticker

Cobra’s target traders frequently revisit the same low-float small-cap names. JournalPlus aggregates win rate, average net P&L, and average hold time per symbol across all imported history. If a trader is consistently losing on a specific ticker despite positive gross P&L — often due to elevated HTB costs — that will surface immediately in the per-ticker breakdown.

Session Drawdown Monitoring

JournalPlus reconstructs intraday drawdown curves from the sequence of imported trades. This identifies sessions where a trader gave back early gains through continued trading, a common pattern among high-frequency day traders. For a trader running 40+ trades per session, this metric is impossible to track manually.

How to Connect Cobra Trading

Step 1: Log in to DAS Trader Pro

Open DAS Trader Pro and connect to your Cobra Trading account. All trade execution history is stored within the platform and is accessible from the built-in reporting tools regardless of how far back you need to go.

Step 2: Export Your Trade History

Navigate to Trade > Trade Report within DAS Trader Pro. Set the date range — a single day, a full week, or a custom range — and click Export to CSV. For a typical week of 200–300 trades, the export file will be under 100 KB.

Step 3: Verify the CSV Format

Before uploading, open the file and confirm the column headers match the standard DAS Trader Pro format: Date, Time, Symbol, Side, Qty, Price, Commission, Net P&L. If your DAS version uses slightly different column names, JournalPlus’s import preview will flag any unmapped columns before committing the import.

Step 4: Upload to JournalPlus

In JournalPlus, navigate to Import Trades and select CSV Upload. Choose your exported DAS Trader Pro file. The import preview will show a sample of parsed trades — verify that symbols, sides, and net P&L figures look correct before confirming.

Step 5: Add Setup Tags and Notes

After the import completes, your trades will appear in the journal with all execution data populated. Setup tags (gap-and-go, short fade, VWAP reclaim), trade rationale, and emotional state fields are not present in DAS exports and must be added manually. Tagging even a subset of trades by setup type unlocks setup-level win rate analysis in JournalPlus.

What Gets Imported

Data Field	Description
Trade Date	Execution date from DAS Trader Pro
Trade Time	Exact execution timestamp
Symbol	Ticker symbol
Side	Long or Short
Quantity	Number of shares
Price	Execution price per share
Commission	Broker fees per trade
Net P&L	Net profit/loss including commissions and locate fees

Data that requires manual entry: setup tags, trade rationale, emotional state, risk amount, and pre-trade notes. These fields are available in JournalPlus but are not exported by DAS Trader Pro.

Analytics & Insights

After importing a week of Cobra Trading history, JournalPlus immediately produces a performance dashboard segmented by ticker, time of day, and trade direction. Consider a trader who runs 14 trades on a single day — 9 long gap-and-go plays (entry $4.20, exit $4.85, 500 shares = $325 gross per trade) and 5 short fades with HTB locates. The longs average +$218 net P&L. The shorts, after locate fees, average –$47 net — negative despite appearing profitable on gross P&L. Without this breakdown, the trader might continue allocating capital to short-side setups that are structurally unprofitable at their current locate cost levels.

The time-of-day breakdown adds another layer of clarity. For most Cobra Trading users focused on morning momentum, the 9:30–10:15 AM window drives the majority of profitable trades. Afternoon sessions in the same low-float names often produce choppy price action with wider spreads and thinner volume, generating net losses. JournalPlus quantifies this: if afternoon trades are a –$312 net drag for the week while morning trades generated +$980, the optimal response is to stop trading after 10:30 AM — a decision that’s invisible without time-segmented analytics.

R-multiple tracking is available once you log your initial risk per trade. For a Cobra Trading user risking $150 per setup on average, a week of 70 trades with a net +$1,200 result translates to an average R of +0.11 — useful for benchmarking against prior weeks and identifying whether position sizing is aligned with setup quality. Drawdown per session helps identify days where early losses should have triggered a stop — another metric that requires imported trade sequences to calculate accurately.

Frequently Asked Questions

Does JournalPlus support Cobra Trading CSV imports?

Yes. JournalPlus imports Cobra Trading trade history via the DAS Trader Pro CSV export format. The import captures symbol, side, quantity, execution price, commissions, and net P&L per trade. See the CSV upload guide for full format details.

How do I export my trades from Cobra Trading?

Cobra Trading’s primary platform is DAS Trader Pro. To export, navigate to the Trade Report section within DAS Trader Pro, select your date range, and export as CSV. The resulting file maps directly to JournalPlus’s import format without any reformatting.

Are HTB locate fees included in the imported P&L figures?

Yes, as long as locate fees are reflected in the Net P&L column of your DAS Trader Pro export. JournalPlus imports net figures as reported by Cobra, so any locate costs already deducted will be captured in your short-side analytics automatically.

Can JournalPlus handle the high trade volume of Cobra Trading users?

JournalPlus is built for high-frequency day traders. You can import weeks of Cobra Trading history in a single CSV upload with no per-trade limit, and analytics process immediately on import. Traders running 200+ trades per week can upload a full month at once.

Does Cobra Trading offer direct API integration with JournalPlus?

Currently, Cobra Trading does not offer a public API for trade export. The supported method is manual CSV export from DAS Trader Pro, which you then upload to JournalPlus. For traders who also use Lightspeed or other direct-access platforms, the same CSV import workflow applies across brokers.