Short Trade on AI 22 Jul 2025 at 11:14:26
Take profit at 0.1435 (1.51 %) and Stop Loss at 0.1472 (1.03 %)
Short Trade on AI 22 Jul 2025 at 11:14:26
Take profit at 0.1435 (1.51 %) and Stop Loss at 0.1472 (1.03 %)
Position size of 799.4139 $
Take profit at 0.1435 (1.51 %) and Stop Loss at 0.1472 (1.03 %)
That's a 1.47 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.75 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.663717 |
Indicators:
118605
0.00365298
119039
0.663717
118202
0.00707351
119039
118212
0.00699453
119039
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 22 Jul 2025 11:14:26 |
22 Jul 2025 12:15:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1457 | 0.1472 | 0.1435 | 1.47 | 0.02087 |
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 = 0.1472 - 0.1457 = 0.0015
Récompense (distance jusqu'au take profit):
E - TP = 0.1457 - 0.1435 = 0.0022
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0022 / 0.0015 = 1.4667
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 799.4139 | 100 | 5485.5825 | 7.99 |
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 / 0.0015 = 5333.33
Taille de position USD = 5333.33 x 0.1457 = 777.07
Donc, tu peux acheter 5333.33 avec un stoploss a 0.1472
Avec un position size USD de 777.07$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5333.33 x 0.0015 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5333.33 x 0.0022 = 11.73
Si Take Profit atteint, tu gagneras 11.73$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.51 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.03 % | 8.23 $ |
| PNL | PNL % |
|---|---|
| -8.23 $ | -1.03 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0776 % | 104.67 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1435
[entry_price] => 0.1457
[stop_loss] => 0.14735
[rr_ratio] => 1.33
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-22 13:25:00
[result] => win
)
[1.2] => Array
(
[take_profit] => 0.1435
[entry_price] => 0.1457
[stop_loss] => 0.1475
[rr_ratio] => 1.22
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-22 13:25:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.1435
[entry_price] => 0.1457
[stop_loss] => 0.14765
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-22 13:25:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.1435
[entry_price] => 0.1457
[stop_loss] => 0.14795
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-22 13:25:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00219
[max_drawdown] => 0.0016
[rr_ratio] => 1.37
[high] => 0.14730000
[low] => 0.14351000
[mfe_pct] => 1.5
[mae_pct] => 1.1
[mfe_mae_ratio] => 1.37
[candles_analyzed] => 24
[start_at] => 2025-07-22T11:14:26-04:00
[end_at] => 2025-07-22T13:14:26-04:00
)
[long_term] => Array
(
[max_gain] => 0.00324
[max_drawdown] => 0.0016
[rr_ratio] => 2.03
[high] => 0.14730000
[low] => 0.14246000
[mfe_pct] => 2.22
[mae_pct] => 1.1
[mfe_mae_ratio] => 2.03
[candles_analyzed] => 72
[start_at] => 2025-07-22T11:14:26-04:00
[end_at] => 2025-07-22T17:14:26-04:00
)
[breakout] => Array
(
[high_before] => 0.14610000
[high_after] => 0.14730000
[low_before] => 0.14094000
[low_after] => 0.14246000
[is_new_high] =>
[is_new_low] =>
)
)