Short Trade on BMT 29 Jun 2025 at 17:55:20
Take profit at 0.1339 (0.3 %) and Stop Loss at 0.1345 (0.15 %)
Short Trade on BMT 29 Jun 2025 at 17:55:20
Take profit at 0.1339 (0.3 %) and Stop Loss at 0.1345 (0.15 %)
Position size of 4626.2078 $
Take profit at 0.1339 (0.3 %) and Stop Loss at 0.1345 (0.15 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.6 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.36 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : -0.063077 |
Indicators:
107591
-0.000684992
107517
-0.063077
107528
0.000749642
107609
107358
0.00148622
107517
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Jun 2025 17:55:20 |
29 Jun 2025 18:00:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1343 | 0.1345 | 0.1339 | 2 | 0.01552 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.1345 - 0.1343 = 0.00020000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.1343 - 0.1339 = 0.00040000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00040000000000001 / 0.00020000000000001 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 4626.2078 | 100 | 34451.9495 | 46.26 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / 0.00020000000000001 = 40000
Taille de position USD = 40000 x 0.1343 = 5372
Donc, tu peux acheter 40000 avec un stoploss a 0.1345
Avec un position size USD de 5372$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 40000 x 0.00020000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 40000 x 0.00040000000000001 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.3 % | 13.78 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.15 % | 6.89 $ |
| PNL | PNL % |
|---|---|
| -6.89 $ | -0.15 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.618 % | 415.04 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1339
[entry_price] => 0.1343
[stop_loss] => 0.13452
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-06-29 18:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1339
[entry_price] => 0.1343
[stop_loss] => 0.13454
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-06-29 18:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1339
[entry_price] => 0.1343
[stop_loss] => 0.13456
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-06-29 18:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1339
[entry_price] => 0.1343
[stop_loss] => 0.1346
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-06-29 18:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00022
[max_drawdown] => 0.00381
[rr_ratio] => 0.06
[high] => 0.13811000
[low] => 0.13408000
[mfe_pct] => 0.16
[mae_pct] => 2.84
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 24
[start_at] => 2025-06-29T17:55:20-04:00
[end_at] => 2025-06-29T19:55:20-04:00
)
[long_term] => Array
(
[max_gain] => 0.00111
[max_drawdown] => 0.00479
[rr_ratio] => 0.23
[high] => 0.13909000
[low] => 0.13319000
[mfe_pct] => 0.83
[mae_pct] => 3.57
[mfe_mae_ratio] => 0.23
[candles_analyzed] => 72
[start_at] => 2025-06-29T17:55:20-04:00
[end_at] => 2025-06-29T23:55:20-04:00
)
[breakout] => Array
(
[high_before] => 0.13478000
[high_after] => 0.13909000
[low_before] => 0.13231000
[low_after] => 0.13319000
[is_new_high] =>
[is_new_low] =>
)
)