Short Trade on GRASS 05 Jul 2025 at 16:23:37
Take profit at 1.0773 (0.73 %) and Stop Loss at 1.0905 (0.49 %)
Short Trade on GRASS 05 Jul 2025 at 16:23:37
Take profit at 1.0773 (0.73 %) and Stop Loss at 1.0905 (0.49 %)
Position size of 1648.3024 $
Take profit at 1.0773 (0.73 %) and Stop Loss at 1.0905 (0.49 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.58 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.299904 |
Indicators:
107995
-0.000212926
107972
0.299904
107936
0.000463467
107986
108024
-0.000481545
107972
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Jul 2025 16:23:37 |
05 Jul 2025 16:30:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.0852 | 1.0905 | 1.0773 | 1.49 | 0.2239 |
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 = 1.0905 - 1.0852 = 0.0053000000000001
Récompense (distance jusqu'au take profit):
E - TP = 1.0852 - 1.0773 = 0.0079
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0079 / 0.0053000000000001 = 1.4906
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1648.3024 | 100 | 1518.8928 | 16.48 |
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 / 0.0053000000000001 = 1509.43
Taille de position USD = 1509.43 x 1.0852 = 1638.03
Donc, tu peux acheter 1509.43 avec un stoploss a 1.0905
Avec un position size USD de 1638.03$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1509.43 x 0.0053000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1509.43 x 0.0079 = 11.92
Si Take Profit atteint, tu gagneras 11.92$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.73 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.49 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -7.6 $ | -0.46 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0323 % | 224.02 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.077
[entry_price] => 1.085
[stop_loss] => 1.0905
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-05 16:30:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.077
[entry_price] => 1.085
[stop_loss] => 1.091
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-05 16:30:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.077
[entry_price] => 1.085
[stop_loss] => 1.0915
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-05 16:30:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.077
[entry_price] => 1.085
[stop_loss] => 1.0925
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-05 16:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0025999999999999
[max_drawdown] => 0.0217
[rr_ratio] => 0.12
[high] => 1.10690000
[low] => 1.08260000
[mfe_pct] => 0.24
[mae_pct] => 2
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 24
[start_at] => 2025-07-05T16:23:37-04:00
[end_at] => 2025-07-05T18:23:37-04:00
)
[long_term] => Array
(
[max_gain] => 0.0025999999999999
[max_drawdown] => 0.0255
[rr_ratio] => 0.1
[high] => 1.11070000
[low] => 1.08260000
[mfe_pct] => 0.24
[mae_pct] => 2.35
[mfe_mae_ratio] => 0.1
[candles_analyzed] => 72
[start_at] => 2025-07-05T16:23:37-04:00
[end_at] => 2025-07-05T22:23:37-04:00
)
[breakout] => Array
(
[high_before] => 1.08680000
[high_after] => 1.11070000
[low_before] => 1.05390000
[low_after] => 1.08260000
[is_new_high] =>
[is_new_low] =>
)
)