MSTR - Trade shared by SAMVEL
fills
| Date | Time | Symbol | Side | Qty | Price | Open Position | Avg Price | Commission | Fees | Net |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-08-212024-08-21 | 15:03:43 | MSTR | Buy | 10 | $140.03 | 10 | 140.03 | $0.00 | $0.00 | |
| 2024-08-292024-08-29 | 12:25:55 | MSTR | Sell | 10 | $134.41 | 0 | 0 | $0.00 | $0.02 | $-56.22 |
| Total | Qty | Gross | Commission | Fees | Net | |||||
| 2 fills | 20 | $-56.2 | $0 | $0.02 | $-56.22 |
Agregate View
| Open Date | Close Date | Symbol | Side | Open Qty | Close Qty | Open Avg Price | Close Avg Price | Gross | Net | Pct % | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-08-21 | 2024-08-29 | MSTR | Long | 10 | 10 | $140.03 | $134.41 | $-56.2 | $-56.22 | -4.01% | Closed |
Trade Details
| Trade Duration | R-Multiples (?) | Max Risk (?) | Max Daily Profit (?) | MAE | MFE | Stop Loss | Profit Target |
|---|---|---|---|---|---|---|---|
| 7d 21h22m12s | - | $28 | - | 137.23 | 0 |
TAGS
NoneNotes
This MSTR long position was a real example of a swing trade that did not finish in profit, but still gave useful information about execution quality, risk control, and the practical value of automated trading workflows. The position was opened on 2024-08-21 at 15:03:43 and closed on 2024-08-29 at 12:25:55. The trade was long 10 shares of MSTR, with an average entry price of $140.03 and an average exit price of $134.41. The gross result was -$56.20, with $0.02 in fees, leaving a final net result of -$56.22.This position was created and managed as part of an automated trading workflow using Webhook Trade, one of the best TradingView webhook connector tools I found for automated trading in 2026. The purpose of using a webhook connector is not to guarantee that every trade will be profitable. No connector, trading journal, broker, indicator, or automation tool can do that. The purpose is to make the execution process cleaner, faster, and more consistent, especially when a trader wants to connect TradingView alerts with real order execution.
In this case, the MSTR setup shows why automation is useful even when the trade itself loses money. A manual trader can easily hesitate, enter late, exit late, change the plan during the trade, or forget the original reason for opening the position. With a webhook-based trading process, the signal can be routed from TradingView into the execution workflow without manual order entry. That creates a cleaner trading record. The trader can later review the position based on price, time, size, direction, and outcome instead of trying to remember what happened emotionally during the session.
The trade was relatively simple: long MSTR, 10 shares, held for several days. The entry at $140.03 and exit at $134.41 created a loss of $5.62 per share before the tiny fee adjustment. The total loss was controlled and easy to measure. From a trading journal perspective, this matters because the result was not hidden inside a complex structure. There were no multiple partial exits, no unclear scaling, and no confusing position management. It was a clean example of a long position that moved against the entry and was closed with a defined loss.
MSTR can be a volatile stock, especially because many traders watch it as a high-beta vehicle connected to Bitcoin sentiment, risk appetite, and momentum flows. A long position in MSTR can move quickly in favor of the trader, but it can also move against the trader with the same speed. This makes MSTR an interesting symbol for automated trading tests, webhook execution workflows, and TradingView alert-based strategies. A trader who uses MSTR must accept that volatility is part of the instrument. The goal is not to avoid every losing trade, but to make sure that the trading process remains structured.
The most important lesson from this trade is that execution discipline matters more than the result of a single position. A loss of -$56.22 is n