Short Trade on AI16Z 01 Jul 2025 at 21:45:33
Take profit at 0.1395 (1.34 %) and Stop Loss at 0.1427 (0.92 %)
Short Trade on AI16Z 01 Jul 2025 at 21:45:33
Take profit at 0.1395 (1.34 %) and Stop Loss at 0.1427 (0.92 %)
Position size of 870.7226 $
Take profit at 0.1395 (1.34 %) and Stop Loss at 0.1427 (0.92 %)
That's a 1.46 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.5 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.41 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.414619 |
Indicators:
105674
0.000433177
105720
0.414619
106215
-0.00465947
105720
106950
-0.0115054
105720
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Jul 2025 21:45:33 |
01 Jul 2025 22:45:00 |
59 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1414 | 0.1427 | 0.1395 | 1.46 | 0.0663 |
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 = 0.1427 - 0.1414 = 0.0013
Récompense (distance jusqu'au take profit):
E - TP = 0.1414 - 0.1395 = 0.0019
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0019 / 0.0013 = 1.4615
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 870.7226 | 100 | 6157.8682 | 8.71 |
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 / 0.0013 = 6153.85
Taille de position USD = 6153.85 x 0.1414 = 870.15
Donc, tu peux acheter 6153.85 avec un stoploss a 0.1427
Avec un position size USD de 870.15$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 6153.85 x 0.0013 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 6153.85 x 0.0019 = 11.69
Si Take Profit atteint, tu gagneras 11.69$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.34 % | 11.7 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.92 % | 8.01 $ |
| PNL | PNL % |
|---|---|
| -8.01 $ | -0.92 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9194 % | 100 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1395
[entry_price] => 0.1414
[stop_loss] => 0.14283
[rr_ratio] => 1.33
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-01 23:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1395
[entry_price] => 0.1414
[stop_loss] => 0.14296
[rr_ratio] => 1.22
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-02 01:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1395
[entry_price] => 0.1414
[stop_loss] => 0.14309
[rr_ratio] => 1.12
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-02 01:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1395
[entry_price] => 0.1414
[stop_loss] => 0.14335
[rr_ratio] => 0.97
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-02 01:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0015
[max_drawdown] => 0.0015
[rr_ratio] => 1
[high] => 0.14290000
[low] => 0.13990000
[mfe_pct] => 1.06
[mae_pct] => 1.06
[mfe_mae_ratio] => 1
[candles_analyzed] => 24
[start_at] => 2025-07-01T21:45:33-04:00
[end_at] => 2025-07-01T23:45:33-04:00
)
[long_term] => Array
(
[max_gain] => 0.0015
[max_drawdown] => 0.0044
[rr_ratio] => 0.34
[high] => 0.14580000
[low] => 0.13990000
[mfe_pct] => 1.06
[mae_pct] => 3.11
[mfe_mae_ratio] => 0.34
[candles_analyzed] => 72
[start_at] => 2025-07-01T21:45:33-04:00
[end_at] => 2025-07-02T03:45:33-04:00
)
[breakout] => Array
(
[high_before] => 0.14220000
[high_after] => 0.14580000
[low_before] => 0.13610000
[low_after] => 0.13990000
[is_new_high] =>
[is_new_low] =>
)
)