Short Trade on HIPPO 17 Jul 2025 at 17:18:04
Take profit at 0.002465 (1.6 %) and Stop Loss at 0.002532 (1.08 %)
Short Trade on HIPPO 17 Jul 2025 at 17:18:04
Take profit at 0.002465 (1.6 %) and Stop Loss at 0.002532 (1.08 %)
Position size of 748.1386 $
Take profit at 0.002465 (1.6 %) and Stop Loss at 0.002532 (1.08 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.64 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.52 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.587473 |
Indicators:
118957
0.0106793
120227
0.587473
118912
0.0110563
120227
118696
0.0128968
120227
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 17 Jul 2025 17:18:04 |
17 Jul 2025 17:25:00 |
6 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.002505 | 0.002532 | 0.002465 | 1.48 | 0.000989 |
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 = 0.002532 - 0.002505 = 2.7E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.002505 - 0.002465 = 4.0E-5
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 4.0E-5 / 2.7E-5 = 1.4815
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 748.1386 | 100 | 298658.1421 | 7.48 |
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 / 2.7E-5 = 296296.3
Taille de position USD = 296296.3 x 0.002505 = 742.22
Donc, tu peux acheter 296296.3 avec un stoploss a 0.002532
Avec un position size USD de 742.22$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 296296.3 x 2.7E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 296296.3 x 4.0E-5 = 11.85
Si Take Profit atteint, tu gagneras 11.85$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.6 % | 11.95 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.08 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.06 $ | -1.08 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.9561 % | 181.49 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.002465
[entry_price] => 0.002505
[stop_loss] => 0.0025347
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-17 17:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.002465
[entry_price] => 0.002505
[stop_loss] => 0.0025374
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-17 17:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.002465
[entry_price] => 0.002505
[stop_loss] => 0.0025401
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-17 17:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.002465
[entry_price] => 0.002505
[stop_loss] => 0.0025455
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-17 17:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 2.4E-5
[max_drawdown] => 4.9E-5
[rr_ratio] => 0.49
[high] => 0.00255400
[low] => 0.00248100
[mfe_pct] => 0.96
[mae_pct] => 1.96
[mfe_mae_ratio] => 0.49
[candles_analyzed] => 24
[start_at] => 2025-07-17T17:18:04-04:00
[end_at] => 2025-07-17T19:18:04-04:00
)
[long_term] => Array
(
[max_gain] => 3.2E-5
[max_drawdown] => 6.6E-5
[rr_ratio] => 0.48
[high] => 0.00257100
[low] => 0.00247300
[mfe_pct] => 1.28
[mae_pct] => 2.63
[mfe_mae_ratio] => 0.48
[candles_analyzed] => 72
[start_at] => 2025-07-17T17:18:04-04:00
[end_at] => 2025-07-17T23:18:04-04:00
)
[breakout] => Array
(
[high_before] => 0.00251900
[high_after] => 0.00257100
[low_before] => 0.00239100
[low_after] => 0.00247300
[is_new_high] =>
[is_new_low] =>
)
)